☆ 4.6 Article

Backtracking search algorithm driven by generalized mean position for numerical and industrial engineering problems

ARTIFICIAL INTELLIGENCE REVIEW (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Memory based hybrid crow search algorithm for solving numerical and constrained global optimization problems

Malik Braik et al.

Summary: Crow Search Algorithm (CSA) is a promising meta-heuristic method that mimics the intelligent behavior of crows in nature. By combining it with Particle Swarm Optimization (PSO), the Memory based Hybrid CSA (MHCSA) achieves a stronger diversity ability and a better balance between exploration and exploitation, effectively overcoming the early convergence and imbalance issues. Test results have demonstrated the superiority of MHCSA over other methods in terms of accuracy and stability.

ARTIFICIAL INTELLIGENCE REVIEW (2023)

添加到收藏夹

Article Automation & Control Systems

An Enhanced Social Engineering Optimizer for Solving an Energy-Efficient Disassembly Line Balancing Problem Based on Bucket Brigades and Cloud Theory

Guangdong Tian et al.

Summary: This article proposes a bucket brigades disassembly line balancing optimization method that considers uncertainty, using a cloud model to represent uncertain disassembly time. The proposed method handles multiple objectives, such as smoothness, cost, and energy consumption, to be minimized. It also innovates a new heuristic method based on the social engineering optimizer to solve this complex problem.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A hybrid salp swarm algorithm based on TLBO for reliability redundancy allocation problems

Tanmay Kundu et al.

Summary: This paper proposes a novel optimization algorithm, HSSATLBO, for solving reliability redundancy allocation problems (RRAP) with nonlinear resource constraints. By improving the salp swarm algorithm (SSA) with the teaching-learning based optimization (TLBO) algorithm, the HSSATLBO algorithm achieves better exploration and exploitation capabilities. Experimental results demonstrate that HSSATLBO outperforms other algorithms in solving various benchmark reliability optimization problems.

APPLIED INTELLIGENCE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A novel improved whale optimization algorithm to solve numerical optimization and real-world applications

Sanjoy Chakraborty et al.

Summary: This study proposes an improved Whale Optimization Algorithm (ImWOA) with increased solution diversity to enhance problem-solving ability. By altering the random solution selection process and incorporating the whale's cooperative hunting strategy, the algorithm's exploration and exploitation capabilities are improved. Experimental results demonstrate that ImWOA outperforms other algorithms in terms of problem-solving ability.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system

M. Elsisi

Summary: This paper introduces a new learning technique to improve the steering angle control of autonomous vehicles. By modifying the grey wolf optimizer algorithm, the proposed algorithm is able to avoid getting trapped in local optima during the search process. Experimental results show that the algorithm can effectively reduce system settling time and overshoot while adapting to different road curvatures.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A quantum mutation-based backtracking search algorithm

Sukanta Nama et al.

Summary: The study introduces a modified BSA framework, gQR-BSA, which enhances search efficiency and addresses complex problems through methods like quasi-reflection-based initialization, quantum Gaussian mutations, adaptive parameter execution, and quasi-reflection-based jumping to alter the algorithm's coordinate structure.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Information-utilization strengthened equilibrium optimizer

Xinming Zhang et al.

Summary: This paper proposes an information-utilization strengthened EO algorithm called IS-EO, which enhances information sharing between individuals through the introduction of cross EO, global-best opposition learning CEO, and differential mutation strategy. Experimental results demonstrate that IS-EO exhibits stronger search ability and faster running speed, and it can effectively address engineering problems.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

添加到收藏夹

Article Thermodynamics

An adaptive hybrid backtracking search optimization algorithm for dynamic economic dispatch with valve-point effects

Canyun Dai et al.

Summary: This paper proposes an adaptive hybrid backtracking search optimization algorithm (AHBSA) for solving dynamic economic dispatch with valve-point effects (DED_vpe). By designing a suitable coupling structure and an improved mutation operator, AHBSA improves the solution accuracy while ensuring algorithm robustness, and achieves good performance in experiments.

ENERGY (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Pyramid particle swarm optimization with novel strategies of competition and cooperation

Taiyong Li et al.

Summary: This paper proposes a novel particle swarm optimization algorithm called PPSO, which utilizes a pyramid structure and competitive-cooperative strategies to update particle information. Extensive experiments demonstrate that PPSO outperforms other algorithms in terms of accuracy and convergence speed, indicating its potential in numerical optimization.

APPLIED SOFT COMPUTING (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Backtracking search optimization applied to solve short-term electrical real power generation of hydrothermal plant

Kuntal Bhattacharjee et al.

Summary: This study utilizes the backtracking search optimization technique to address the short-term hydrothermal scheduling problem and demonstrates its efficiency and solution quality compared to other optimization techniques. The complex nature of hydrothermal systems, with nonlinear problem formulation, necessitates consideration of two decision variables: thermal states and water discharge.

ENGINEERING OPTIMIZATION (2022)

添加到收藏夹

Article Thermodynamics

Adaptive backtracking search optimization algorithm with a dual-learning strategy for dynamic economic dispatch with valve-point effects

Zhongbo Hu et al.

Summary: In this paper, an adaptive backtracking search optimization algorithm (DABSA) is proposed for solving the dynamic economic dispatch problem with valve-point effect (DED_vpe). DABSA utilizes a dual-learning strategy and an adaptive parameter control mechanism to improve solution accuracy and overcome premature convergence. Experimental results demonstrate that DABSA is competitive in terms of low fuel costs and high robustness.

ENERGY (2022)

添加到收藏夹

Article Automation & Control Systems

A meta-inspired termite queen algorithm for global optimization and engineering design problems

Peng Chen et al.

Summary: This paper proposes a novel bio-inspired algorithm, TQA, which solves optimization problems by simulating the division of labor in termite populations. TQA is tested on benchmark functions and applied to real world engineering design problems, demonstrating its reliability and effectiveness in solving global optimization problems and engineering design problems.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An offline learning co-evolutionary algorithm with problem-specific knowledge

Fuqing Zhao et al.

Summary: This paper proposes an offline learning co-evolutionary algorithm (OLCA) that uses fitness landscape analysis to determine suitable strategies for solving complex optimization problems. Experimental results demonstrate that the OLCA is efficient and competitive for solving continuous optimization problems and real-world problems.

SWARM AND EVOLUTIONARY COMPUTATION (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An adaptive framework to select the coordinate systems for evolutionary algorithms

Weifeng Gao et al.

Summary: This paper proposes an adaptive framework, STCS, for selecting coordinate systems in evolutionary algorithms. By constructing eigen coordinate systems using an archive-based covariance matrix, the issue of ineffective matching of different function landscapes is addressed. Experimental results demonstrate the efficiency and competitiveness of STCS across multiple test suites.

APPLIED SOFT COMPUTING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Design of backtracking search heuristics for parameter estimation of power signals

Ammara Mehmood et al.

Summary: This study introduces a novel implementation of evolutionary heuristics using backtracking search optimization algorithm (BSA) for accurate, efficient, and robust parameter estimation of power signal models. The fitness function is mathematically formulated by utilizing approximation theory in mean squared errors between actual and estimated responses, as well as, true and approximated decision variables. Variants of BSA-based meta-heuristics are applied for parameter estimation problem of power signals in different scenarios of noise variation.

NEURAL COMPUTING & APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An enhanced particle swarm optimization algorithm to solve probabilistic load flow problem in a micro-grid

Hajar Bagheri Tolabi et al.

Summary: The EPSO method enhances the traditional PSO by implementing various strategies to improve performance in solving test functions and optimization problems, demonstrating superiority in finding optimal values and achieving global optimal solutions in a short amount of time.

APPLIED INTELLIGENCE (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A population based hybrid FCM-PSO algorithm for clustering analysis and segmentation of brain image

Hanuman Verma et al.

Summary: The hybrid FCM-PSO algorithm combines the advantages of FCM and PSO algorithms, demonstrating better clustering performance in handling complex problems. Experimental results show the effectiveness of the algorithm through numerical and visual comparisons, as well as statistical tests.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans

Rajarshi Bandyopadhyay et al.

Summary: This study proposes a two-stage pipeline for detecting COVID-19 from CT scan images, utilizing a Convolutional Neural Network model and a meta-heuristic algorithm. Experimental results show that the proposed approach outperforms other algorithms in terms of accuracy and feature selection.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility

Gabriel Trierweiler Ribeiro et al.

Summary: The study introduces a hybrid model, HAR-PSO-ESN, combining HAR specification, ESN, and PSO metaheuristic for predicting daily realized volatilities of three Nasdaq stocks. Results demonstrate that the proposed model offers more accurate predictions on most cases, with statistically significant improvement in terms of R-squared and mean squared error metrics.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A new optimization method based on COOT bird natural life model

Iraj Naruei et al.

Summary: The Coot algorithm is a new meta-heuristic method inspired by bird behavior, capable of finding optimal solutions for complex engineering problems. It mimics both irregular and regular movements of birds on the water surface and has shown superior performance compared to other optimization algorithms.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

The Arithmetic Optimization Algorithm

Laith Abualigah et al.

Summary: The Arithmetic Optimization Algorithm (AOA) is a new meta-heuristic method that makes use of the distribution behavior of arithmetic operators, demonstrating promising results in solving challenging optimization problems across various search spaces.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Information Systems

CoV2-Detect-Net: Design of COVID-19 prediction model based on hybrid DE-PSO with SVM using chest X-ray images

Abhishek Dixit et al.

Summary: The paper introduces a self-learning automation model that accurately diagnoses COVID-19 suspected cases using chest X-rays. By utilizing K-means clustering, feature optimization, and SVM classifier, the real-time detection of coronavirus patients achieves an accuracy of 99.34%, demonstrating the robustness and sustainability of the model in diagnosing COVID-19 infected individuals.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment

Jitendra Kumar et al.

Summary: This research aims to investigate the performance of nature-inspired metaheuristic algorithms on workload prediction in a cloud environment, with the Blackhole Algorithm (BhA) showing promising results in predictive accuracy.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Aquila Optimizer: A novel meta-heuristic optimization algorithm

Laith Abualigah et al.

Summary: This paper introduces a novel population-based optimization method, AO, inspired by the behaviors of eagles during hunting. Through a series of experiments, the superior performance of AO in finding optimal solutions for various problems is demonstrated and compared with other meta-heuristic methods.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An enhanced colliding bodies optimization and its application

Debao Chen et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Advanced backtracking search optimization algorithm for a new joint replenishment problem under trade credit with grouping constraint

Lin Wang et al.

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Article Thermodynamics

Backtracking search algorithm with Levy flight for estimating parameters of photovoltaic models

Yiying Zhang et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Automation & Control Systems

Performance analysis of Chaotic Multi-Verse Harris Hawks Optimization: A case study on solving engineering problems

Ahmed A. Ewees et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

添加到收藏夹

Article Engineering, Multidisciplinary

Harris Hawks optimization with information exchange

Chiwen Qu et al.

APPLIED MATHEMATICAL MODELLING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Backtracking search algorithm with competitive learning for identification of unknown parameters of photovoltaic systems

Yiying Zhang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

添加到收藏夹

Article Thermodynamics

Generalized normal distribution optimization and its applications in parameter extraction of photovoltaic models

Yiying Zhang et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An improved backtracking search algorithm for casting heat treatment charge plan problem

Jianxin Zhou et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives

Jonathan Oesterle et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2019)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014-2017)

N. M. Hatta et al.

ARTIFICIAL INTELLIGENCE REVIEW (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems

Gaurav Dhiman et al.

KNOWLEDGE-BASED SYSTEMS (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Improving backtracking search algorithm with variable search strategies for continuous optimization

Hsing-Chih Tsai

APPLIED SOFT COMPUTING (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Ludo game-based metaheuristics for global and engineering optimization

Prabhat R. Singh et al.

APPLIED SOFT COMPUTING (2019)

添加到收藏夹

Article Automation & Control Systems

Poor and rich optimization algorithm: A new human-based and multi populations algorithm

Seyyed Hamid Samareh Moosavi et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)

添加到收藏夹

Article Computer Science, Information Systems

Backtracking search optimization algorithm based on knowledge learning

Debao Chen et al.

INFORMATION SCIENCES (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A novel differential evolution algorithm for solving constrained engineering optimization problems

Ali Wagdy Mohamed

JOURNAL OF INTELLIGENT MANUFACTURING (2018)

添加到收藏夹

Article Energy & Fuels

Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models

Kunjie Yu et al.

APPLIED ENERGY (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm

Mohamad Zihin bin Mohd Zain et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Emperor penguin optimizer: A bio-inspired algorithm for engineering problems

Gaurav Dhiman et al.

KNOWLEDGE-BASED SYSTEMS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Snap-drift cuckoo search: A novel cuckoo search optimization algorithm

Hojjat Rakhshani et al.

APPLIED SOFT COMPUTING (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Improved backtracking search algorithm for pseudo dynamic active earth pressure on retaining wall supporting c-Φ backfill

Sukanta Nama et al.

APPLIED SOFT COMPUTING (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

The Whale Optimization Algorithm

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Improved accelerated PSO algorithm for mechanical engineering optimization problems

Najeh Ben Guedria

APPLIED SOFT COMPUTING (2016)

添加到收藏夹

Article Thermodynamics

Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options

Mostafa Modiri-Delshad et al.

ENERGY (2016)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm

A. E. Chaib et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Study impact of various load models on DG placement and sizing using backtracking search algorithm

Attia El-Fergany

APPLIED SOFT COMPUTING (2015)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm

Attia El-Fergany

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)

添加到收藏夹

Article Automation & Control Systems

A Competitive Swarm Optimizer for Large Scale Optimization

Ran Cheng et al.

IEEE TRANSACTIONS ON CYBERNETICS (2015)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

添加到收藏夹

Article Thermodynamics

Solving non-convex economic dispatch problem via backtracking search algorithm

Mostafa Modiri-Delshad et al.

ENERGY (2014)

添加到收藏夹

Article Mathematics, Applied

Backtracking Search Optimization Algorithm for numerical optimization problems

Pinar Civicioglu

APPLIED MATHEMATICS AND COMPUTATION (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Artificial bee colony algorithm for large-scale problems and engineering design optimization

Bahriye Akay et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2012)

添加到收藏夹

Article Computer Science, Software Engineering

Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems

R. V. Rao et al.

COMPUTER-AIDED DESIGN (2011)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Mixed variable structural optimization using Firefly Algorithm

Amir Hossein Gandomi et al.

COMPUTERS & STRUCTURES (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquin Derrac et al.

SWARM AND EVOLUTIONARY COMPUTATION (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization

Hui Liu et al.

APPLIED SOFT COMPUTING (2010)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.