☆ 4.7 Article

Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms

SWARM AND EVOLUTIONARY COMPUTATION (2022)

Related references

Note: Only part of the references are listed.

Article Computer Science, Artificial Intelligence

A memetic evolution system with statistical variable classification for large-scale many-objective optimization

Hongwei Ge et al.

Summary: Although optimization algorithms have been widely studied, large-scale many-objective optimization problems still pose challenges. This paper proposes a Memetic Evolution System with Statistical Variable Classification (MES-SVC) to address these challenges. By distinguishing convergence-related and diversity-related variables through statistical variable classification, and incorporating information guidance during the evolution process, the proposed method shows promising performance in terms of solution diversity and convergence.

APPLIED SOFT COMPUTING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer

Hamdi Tolga Kahraman et al.

Summary: This article presents research on a method for solving multi-objective optimization problems with conflicting objective functions. The method, based on Pareto archiving and crowding distance, was tested on various benchmark problems and compared with other algorithms. The results demonstrate that the proposed method performs competitively in multi-objective optimization.

APPLIED SOFT COMPUTING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-objective optimal power flow with stochastic wind and solar power

Shuijia Li et al.

Summary: This study investigates the integration of renewable energy sources in power systems and addresses the uncertainty of wind and solar energy in the optimal power flow problem. A multi-objective optimization solution is proposed, and its performance is validated using the IEEE-30 bus system and the IEEE-57 bus system.

APPLIED SOFT COMPUTING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

A decomposition approach for large-scale non-separable optimization problems

Mohamed Meselhi et al.

Summary: In this paper, a novel algorithm is proposed to minimize the number of common variables between sub-problems in large-scale optimization, which improves the performance of the optimization process.

APPLIED SOFT COMPUTING (2022)

Add to Collection

Article Automation & Control Systems

Multiobjective Drilling Trajectory Optimization Considering Parameter Uncertainties

Wendi Huang et al.

Summary: This article discusses the trajectory optimization problem of a drilling process and proposes a new method OR-NSGA-II to solve the multi-objective optimization problem with parameter uncertainties. The method effectively reduces the negative effects of parameter uncertainties and ensures population diversity through the outlier removal mechanism and improved crowding distance calculation.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization

Xin Lin et al.

Summary: Dynamic multimodal optimization problems (DMMOPs) are a class of problems that possess both dynamic and multimodal characteristics. Solving DMMOPs requires strategies that deal with dynamic and multimodal nature to cooperate with each other. This paper designs a set of benchmark problems to simulate various dynamic and multimodal environments, and proposes an optimization framework to test and compare the performances of algorithms, providing a comprehensive view of solving DMMOPs.

SWARM AND EVOLUTIONARY COMPUTATION (2022)

Add to Collection

Article Computer Science, Information Systems

Optimal Economic-Environmental Operation for AC-MTDC Grids by Improved Crow Search Algorithm

Abdullah M. Shaheen et al.

Summary: This article develops a nonlinear, multimodal, and multiobjective formulation for the combined economic environmental operation problem in hybrid AC-multiterminal high-voltage direct current grids and proposes an improved crow search algorithm for solving it.

IEEE SYSTEMS JOURNAL (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

A clustering-based differential evolution with different crowding factors for nonlinear equations system

Jianye Wu et al.

Summary: This paper addresses the challenges of guiding populations towards multiple roots, dealing with individuals stuck in local optima, and minimizing replacement errors when using evolutionary algorithms for solving nonlinear equation systems. It introduces a one-step k-means clustering method combined with niching to help individuals search for different roots in their respective directions, proposes methods to form species to encourage individuals to escape local optima, and adopts different crowding factors to reduce replacement errors. The proposed KSDE shows great potential in locating multiple roots and outperforms other state-of-the-art methods in experimental evaluations on 30 NES problems.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems

Jing Liang et al.

Summary: This paper proposes a differential evolution algorithm based on clustering technique and elite selection mechanism to solve Multimodal Multi-objective Optimization Problems (MMOPs). The algorithm calculates comprehensive crowding degree and introduces elite selection mechanism to generate a well-distributed population, resulting in superior performance compared to other commonly used algorithms, as shown in extensive experiments on CEC'2019 benchmark functions.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Development of the Multi-Objective Adaptive Guided Differential Evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources

Serhat Duman et al.

Summary: This study presents the MOAGDE as a powerful and stable algorithm for finding Pareto optimal solutions for multi-objective optimization problems. The MOAGDE was developed by redesigning the adaptive guided differential evolution algorithm and integrating non-dominated sorting strategy with crowding distance for archiving Pareto optimal solutions. The algorithm was tested using the CEC 2020 benchmark problem suite and compared with other algorithms in the literature on a real-world engineering problem.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Thermodynamics

Multi-objective jellyfish search optimizer for efficient power system operation based on multi-dimensional OPF framework

Abdullah M. Shaheen et al.

Summary: The article introduces an enhanced multi-objective Quasi-Reflected Jellyfish Search Optimizer (MOQRJFS) for solving multi-dimensional Optimal Power Flow (MDOPF) issue. With two modifications to strengthen the searching capability of JFS algorithm, the MOQRJFS is applied to various systems and proven to be superior.

ENERGY (2021)

Add to Collection

Article Automation & Control Systems

Many-Objective Gradient-Based Optimizer to Solve Optimal Power Flow Problems: Analysis and Validations

M. Premkumar et al.

Summary: A new Many-Objective Gradient-Based Optimizer (MaOGBO) based on reference point strategy is proposed to solve the MaO-OPF problem, which effectively handles various constraints and objectives. The approach utilizes repair techniques, penalty functions, and fuzzy membership function strategies to locate the Best Compromise Solution (BCS) and achieve satisfactory results in experimentation.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

An enhanced moth-swarm algorithm for efficient energy management based multi dimensions OPF problem

Bachir Bentouati et al.

Summary: This paper presents a new high-efficiency technology, enhanced MSA (EMSA), which proposes a multi-objective version of the recently proposed moth swarm algorithm to address energy management issues in power systems. Simulation results confirm considerable improvements of EMSA in addressing different test objectives in complex power systems.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Golden eagle optimizer: A nature-inspired metaheuristic algorithm

Abdolkarim Mohammadi-Balani et al.

Summary: This paper introduces a nature-inspired global optimization algorithm, GEO, based on the hunting behavior of golden eagles, and a multi-objective algorithm, MOGEO. Testing on benchmark functions and multi-objective benchmark functions show that GEO and MOGEO outperform other algorithms in optimization performance.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces

Qiuzhen Lin et al.

Summary: This article proposes a multimodal multiobjective evolutionary algorithm with dual clustering in decision and objective spaces to maintain diversity in solutions. Experimental results validate the advantages of this approach in maintaining diversity in both objective and decision spaces.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Add to Collection

Article Engineering, Electrical & Electronic

A novel hybrid self-adaptive heuristic algorithm to handle single- and multi-objective optimal power flow problems

Ehsan Naderi et al.

Summary: A novel fuzzy adaptive hybrid configuration algorithm is proposed to solve the multi-objective optimal power flow problem, taking into account practical limitations in real power systems. Results demonstrate the effectiveness of the proposed approach.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

MOEO-EED: A multi-objective equilibrium optimizer with exploration-exploitation dominance strategy

Mohamed Abdel-Basset et al.

Summary: The work introduces several variants of the equilibrium optimizer for multi-objective optimization, utilizing different strategies and algorithms to achieve better results in solving multi-objective optimization problems.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Balancing performance between the decision space and the objective space in multimodal multiobjective optimization

Qite Yang et al.

Summary: The paper introduces an evolutionary multiobjective optimization algorithm, EMO-DD, which utilizes a decomposition strategy in the decision space and promotes solution diversity through decision subregion allocation and diversity archive preservation methods. By formulating a bi-objective optimization problem for solution screening, EMO-DD achieves improved performance in solving multimodal multiobjective optimization problems.

MEMETIC COMPUTING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization

Jinhua Zheng et al.

Summary: In this paper, a hybrid prediction strategy based on the classification of decision variables is proposed to track moving optima in dynamic multi-objective optimization problems. By analyzing the impact and using different prediction methods for decision variables in a new environment, the algorithm can significantly improve dynamic optimization performance according to experimental results.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Add to Collection

Article Green & Sustainable Science & Technology

An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer

Muhammad Riaz et al.

Summary: This paper proposes an optimal power flow solution that combines renewable energy sources with traditional fossil-fuel generators, forecasting power output from SPV and WE sources, optimizing generation cost, emissions, and power losses, and confirming the effectiveness of the SPV and WE sources in reducing system generation cost and greenhouse emissions.

SUSTAINABILITY (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

A Pareto based discrete Jaya algorithm for multi-objective flexible job shop scheduling problem

Rylan H. Caldeira et al.

Summary: The study introduces a multi-objective discrete Jaya algorithm (MODJA) to address flexible job shop scheduling problems, incorporating a problem-specific local search technique and modified crowding distance measure for enhanced performance. Computational experiments demonstrate the effectiveness of MODJA in obtaining diverse and improved Pareto-optimal solutions.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems

Manoharan Premkumar et al.

Summary: This paper introduces a new multiobjective optimization algorithm, MOGBO, which utilizes two operators and gradient search rule to find Pareto optimal solutions. The performance of MOGBO was verified on various test cases, showing highly accurate results and efficient solving of complex multiobjective problems compared to other state-of-the-art algorithms.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

Article Multidisciplinary Sciences

Multiobjective optimal power flow for static voltage stability margin improvement

Rebeccah Kyomugisha et al.

Summary: The study proposes a method to improve stability during system disturbances by optimizing generation scheduling and incorporating a new index for multiobjective optimization. Results from studies under different conditions show that the multiobjective approach is more effective in enhancing power system stability and reducing losses compared to the single objective approach.

HELIYON (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Differential evolution using improved crowding distance for multimodal multiobjective optimization

Caitong Yue et al.

Summary: This paper proposes a multimodal multiobjective differential evolution algorithm to solve the problem of many-to-one mappings in multiobjective optimization. The proposed method takes into account the diversity in both decision and objective space, and changes the way of calculating crowding distance to improve solution diversity.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Survey Paper Multi-objective particle swarm optimization with adaptive strategies for feature selection

Fei Han et al.

Summary: Feature selection is a multi-objective optimization problem with conflicting objectives of classification accuracy and selected feature numbers, however, existing algorithms often struggle with complex Pareto fronts. The proposed MOPSO-ASFS algorithm utilizes adaptive strategies to improve population selection pressures, resulting in better convergence and diversity in finding optimal solutions compared to other algorithms, particularly on high dimensional datasets.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Using following heroes operation in multi-objective differential evolution for fast convergence

Vibhu Trivedi et al.

Summary: A new hybrid variant of multi-objective differential evolution algorithm is developed in this study, which combines the abilities of DE/rand/1 strategy and adaptive social evolution algorithm to improve convergence speed and effectiveness. The algorithm outperforms other established algorithms in solving computationally intensive multi-objective optimization problems, showing better convergence with a relatively simple structure and no additional computational cost needed.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

A self-adaptive multi-objective dynamic differential evolution algorithm and its application in chemical engineering

Xiaodong Zhang et al.

Summary: This paper introduces a new multi-objective dynamic differential evolution algorithm called SA-MODDE, which improves performance through parameter self-adaptive strategies. Extensive numerical tests and studies on industrial processes have demonstrated the effectiveness and robustness of the algorithm.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Management

Improving multi-objective algorithms performance by emulating behaviors from the human social analogue in candidate solutions

Konstantinos Liagkouras et al.

Summary: The paper explores the importance of individual behaviors in evolutionary algorithms and introduces a novel approach that generates individuals with different reactions to the same stimulus, inspired by human social interactions. The proposed method outperforms other state-of-the-art algorithms in various test instances, showcasing the significance of incorporating diverse behaviors in evolutionary algorithms.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

Add to Collection

Article Automation & Control Systems

A Multi-Objective Marine Predator Optimizer for Optimal Techno-Economic Operation of AC/DC Grids

Mosleh Alharthi et al.

Summary: The article introduces an improved Marine Predator Optimization (IMPO) for optimizing the performance of combined AC/DC electrical grids. The IMPO includes an external repository to preserve non-dominated individuals and uses a fuzzy decision procedure to determine the correct acceptable operational solution. Comparative analysis with other optimization algorithms on a standard power system demonstrates the effectiveness of the proposed IMPO in extracting diversified Pareto solutions.

STUDIES IN INFORMATICS AND CONTROL (2021)

Add to Collection

Article Computer Science, Information Systems

A Bio-Inspired Heuristic Algorithm for Solving Optimal Power Flow Problem in Hybrid Power System

Manzoor Ahmad et al.

Summary: This study introduces a bird swarm algorithm to solve the optimal power flow problem in hybrid power systems, improving system accuracy by considering load demand uncertainty and stochastic electricity output from renewable energy resources. The algorithm demonstrates more accurate and stable performance compared to other metaheuristic algorithms.

IEEE ACCESS (2021)

Add to Collection

Article Computer Science, Information Systems

Multi-Objective Crystal Structure Algorithm (MOCryStAl): Introduction and Performance Evaluation

Nima Khodadadi et al.

Summary: This paper presents the multi-objective version of the CryStAl algorithm inspired by crystal structure principles for dealing with complex problems with simultaneous indexes. The efficiency of the proposed approach is evaluated using benchmark problems and real-world engineering design problems, showing excellent results in dealing with multi-objective problems.

IEEE ACCESS (2021)

Add to Collection

Article Computer Science, Information Systems

MOPGO: A New Physics-Based Multi-Objective Plasma Generation Optimizer for Solving Structural Optimization Problems

Sumit Kumar et al.

Summary: This paper introduces a new Multi-Objective Plasma Generation Optimization (MOPGO) algorithm and investigates its non-dominated sorting mechanism for challenging real-world structural optimization design problems. The study shows that the algorithm achieves a significant impact on balancing exploration and exploitation, effectively solving complex problems.

IEEE ACCESS (2021)

Add to Collection

Article Computer Science, Information Systems

MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting

Manoharan Premkumar et al.

Summary: This paper introduces a multi-objective Slime Mould Algorithm (MOSMA) for handling multi-objective optimization problems in industries, combining SMA mechanisms and non-dominated sorting approach to improve solution quality.

IEEE ACCESS (2021)

Add to Collection

Article Energy & Fuels

Multi-objective optimal power flow using a new heuristic optimization algorithm with the incorporation of renewable energy sources

Nagarajan Karthik et al.

Summary: This research proposes a method for multi-objective optimal power flow by combining renewable energy sources with traditional thermal power generators and using a modified Interior Search Algorithm for validation. By taking into account network security limitations, the method achieved significant results during implementation.

INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING (2021)

Add to Collection

Article Computer Science, Information Systems

Adequate Operation of Hybrid AC/MT-HVDC Power Systems Using an Improved Multi- Objective Marine Predators Optimizer

Abdallah M. Elsayed et al.

Summary: This paper presents an Improved Multi-Objective Marine Predators Optimizer (IMMPO) for optimal operation of hybrid AC and multi-terminal-high voltage direct current (AC/MT-HVDC) power systems. The proposed IMMPO incorporates an external repository to conserve the non-dominated preys, and fuzzy decision making is employed to select the best compromise operating point. Simulation results demonstrate the effectiveness and stability of the proposed algorithm over several competitive algorithms.

IEEE ACCESS (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Multi-objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation

Abdullah M. Shaheen et al.

Summary: The paper introduces a multi-objective manta ray foraging algorithm for hybrid AC and MTDC power grids. The algorithm aims to minimize production fuel costs, transmission power losses, and environmental emissions for economic, technical, and environmental benefits. It demonstrates effectiveness, robustness, and ability to extract multiple solutions that meet techno-economic and environmental requirements.

IET GENERATION TRANSMISSION & DISTRIBUTION (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network

Partha P. Biswas et al.

Summary: This paper addresses the challenging optimization problem of OPF in power domain, considering stochastic wind power and various FACTS devices. The optimization objective includes minimizing generation cost, optimizing wind power, and FACTS device location and ratings. The SHADE algorithm is adopted, combined with the SF method for constraint handling, demonstrating superior performance compared to other algorithms.

NEURAL COMPUTING & APPLICATIONS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms

Partha P. Biswas et al.

SOFT COMPUTING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach

Serhat Duman et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms

Hamdi Tolga Kahraman et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms

Tome Eftimov et al.

APPLIED SOFT COMPUTING (2020)

Add to Collection

Article Thermodynamics

A novel multi-objective hybrid particle swarm and salp optimization algorithm for technical-economical-environmental operation in power systems

Ragab A. El Sehiemy et al.

ENERGY (2020)

Add to Collection

Article Thermodynamics

Optimal power flow by means of improved adaptive differential evolution

Shuijia Li et al.

ENERGY (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

A guided population archive whale optimization algorithm for solving multiobjective optimization problems

Adel Got et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Optimal power flow of power systems with controllable wind-photovoltaic energy systems via differential evolutionary particle swarm optimization

Serhat Duman et al.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2020)

Add to Collection

Article Engineering, Chemical

An Improved Artificial Electric Field Algorithm for Multi-Objective Optimization

Hemant Petwal et al.

PROCESSES (2020)

Add to Collection

Article Mathematics, Interdisciplinary Applications

Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems

Jui-Sheng Chou et al.

CHAOS SOLITONS & FRACTALS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

A multi-objective algorithm for multi-label filter feature selection problem

Hongbin Dong et al.

APPLIED INTELLIGENCE (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Optimal power flow using the AMTPG-Jaya algorithm

Warid Warid

APPLIED SOFT COMPUTING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Application of modified pigeon-inspired optimization algorithm and constraint -objective sorting rule on multi-objective optimal power flow problem

Gonggui Chen et al.

APPLIED SOFT COMPUTING (2020)

Add to Collection

Article Engineering, Electrical & Electronic

MOEA/D with many-stage dynamical resource allocation strategy to solution of many-objective OPF problems

Jingrui Zhang et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Add to Collection

Article Engineering, Multidisciplinary

Equilibrium optimizer based multi dimensions operation of hybrid AC/DC grids

Dalia T. Abdul-hamied et al.

ALEXANDRIA ENGINEERING JOURNAL (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Analysis and multi-objective optimization of slag powder process

Xiaoli Li et al.

APPLIED SOFT COMPUTING (2020)

Add to Collection

Article Computer Science, Information Systems

Optimal Power Flow With Emerged Technologies of Voltage Source Converter Stations in Meshed Power Systems

Ehab E. Elattar et al.

IEEE ACCESS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Improved subspace clustering algorithm using multi-objective framework and subspace optimization

Dipanjyoti Paul et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems

Yanan Sun et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

A novel multi-objective optimization algorithm based on Lightning Attachment Procedure Optimization algorithm

A. Foroughi Nematollahi et al.

APPLIED SOFT COMPUTING (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

A novel scalable test problem suite for multimodal multiobjective optimization

Caitong Yue et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization

Junwei Ou et al.

APPLIED SOFT COMPUTING (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis

Christiaan Scheepers et al.

SWARM INTELLIGENCE (2019)

Add to Collection

Article Thermodynamics

Optimal power flow using multi-objective glowworm swarm optimization algorithm in a wind energy integrated power system

Surender Reddy Salkuti

INTERNATIONAL JOURNAL OF GREEN ENERGY (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

An efficient metamodel-based multi-objective multidisciplinary design optimization framework

Parviz Mohammad Zadeh et al.

APPLIED SOFT COMPUTING (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem

Luciano P. Cota et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems

Caitong Yue et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems

Seyedali Mirjalili et al.

APPLIED INTELLIGENCE (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Symbiotic organisms search algorithm for optimal power flow problem based on valve-point effect and prohibited zones

Serhat Duman

NEURAL COMPUTING & APPLICATIONS (2017)

Add to Collection

Article Thermodynamics

Optimal power flow solutions incorporating stochastic wind and solar power

Partha P. Biswas et al.

ENERGY CONVERSION AND MANAGEMENT (2017)

Add to Collection

Article Automation & Control Systems

Non-dominated sorting moth flame optimization (NS-MFO) for multi-objective problems

Vimal Savsani et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Optimization of problems with multiple objectives using the multi-verse optimization algorithm

Seyedali Mirjalili et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study

Olacir R. Castro et al.

SWARM INTELLIGENCE (2017)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Seyedali Mirjalili

NEURAL COMPUTING & APPLICATIONS (2016)

Add to Collection

Article Green & Sustainable Science & Technology

Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

Seyed Masoud Mohseni-Bonab et al.

RENEWABLE ENERGY (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Development of an open source power flow software for high voltage direct current grids and hybrid AC/DC systems: MATACDC

Jef Beerten et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2015)

Add to Collection

Article Computer Science, Artificial Intelligence

An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints

Kalyanmoy Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Multiobjective cuckoo search for design optimization

Xin-She Yang et al.

COMPUTERS & OPERATIONS RESEARCH (2013)

Add to Collection

Article Engineering, Electrical & Electronic

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Ray Daniel Zimmerman et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2011)

Add to Collection

Article Computer Science, Artificial Intelligence

Bat algorithm for multi-objective optimisation

Xin-She Yang

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION (2011)

Add to Collection

Article Computer Science, Artificial Intelligence

MOEA/D: A multiobjective evolutionary algorithm based on decomposition

Qingfu Zhang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)

Add to Collection

Review Computer Science, Artificial Intelligence

Performance assessment of multiobjective optimizers: An analysis and review

E Zitzler et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2003)

Add to Collection

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

Add to Collection

© Peeref 2019-2024. All rights reserved.