☆ 4.6 Article

Multi-Objective Material Generation Algorithm (MOMGA) for Optimization Purposes

IEEE ACCESS (2022)

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, Interdisciplinary Applications

Stochastic paint optimizer: theory and application in civil engineering

Ali Kaveh et al.

Summary: This paper presents an art-inspired optimization algorithm called Stochastic Paint Optimizer (SPO), which simulates the search space as a painting canvas and utilizes different color combinations to find the best solution. The performance of SPO is evaluated using benchmark functions and compared with other algorithms, demonstrating its competitive results. Additionally, the practicality of SPO is confirmed through its application to challenging structural design problems.

ENGINEERING WITH COMPUTERS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

MOTEO: a novel multi-objective thermal exchange optimization algorithm for engineering problems

Nima Khodadadi et al.

Summary: This paper presents a physics-inspired metaheuristic algorithm for solving multi-objective optimization problems, which has been shown to provide quality Pareto fronts with appropriate accuracy, uniformity, and coverage.

SOFT COMPUTING (2022)

添加到收藏夹

Article Engineering, Civil

Artificial Neural Network for the prediction of fatigue life of a flexible foldable origami antenna with Kresling pattern

Mojtaba Moshtaghzadeh et al.

Summary: In this paper, a comprehensive fatigue analysis of a foldable origami helical antenna is presented using Finite Element Method (FEM) and Artificial Neural Network (ANN). The study investigates the effect of design parameters on fatigue life and proposes a method to reduce computational cost. The results show that increasing the radius of the circumscribed circle and reducing the structure's thickness improve fatigue life.

THIN-WALLED STRUCTURES (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems

Weiguo Zhao et al.

Summary: The multi-objective Artificial hummingbird algorithm (MOAHA) is developed to solve complex multi-objective optimization problems, including engineering design problems. The algorithm utilizes an external archive to save Pareto optimal solutions and maintains population diversity through a dynamic elimination-based crowding distance (DECD) method. Additionally, a non-dominated sorting strategy is merged with MOAHA to improve the convergence of the algorithm. The comprehensive tests demonstrate the superior performance of MOAHA over competitors in terms of convergence, diversity, and solution distribution. The algorithm is also shown to excel in handling challenging real-world multi-objective problems with unknown true Pareto optimal solutions and fronts.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Special Relativity Search: A novel metaheuristic method based on special relativity physics

Vahid Goodarzimehr et al.

Summary: This paper proposes a novel metaheuristic optimization algorithm called Special Relativity Search (SRS), which utilizes the theory of special relativity physics to determine the coordinates of charged particles. By calculating particle interactions using the Lorentz force and angular frequency, SRS demonstrates higher efficiency and robustness in solving optimization problems compared to other popular metaheuristic algorithms.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-objective Stochastic Paint Optimizer (MOSPO)

Nima Khodadadi et al.

Summary: The single-objective version of the Stochastic Paint Optimizer (SPO) has been modified to address multi-objective optimization problems and is now known as MOSPO. SPO utilizes color theory, the color wheel, and color combination methods to achieve excellent exploration and exploitation capabilities. By using four simple color combination rules without internal parameters and incorporating principles like a fixed-sized external archive, the recommended MOSPO technique differs from the original single-objective SPO. Furthermore, a leader selection feature has been added to SPO to accommodate multi-objective optimization. Testing performed on various mathematical and engineering design problems demonstrates that MOSPO outperforms other multi-objective optimization algorithms such as MOPSO, MSSA, and multi-objective ant lion optimizer in terms of precision and uniformity. Based on different performance metrics including generational distance, inverted generational distance, maximum spread, and spacing, the proposed algorithm consistently produces high-quality Pareto fronts with competitive convergence.

NEURAL COMPUTING & APPLICATIONS (2022)

添加到收藏夹

Article Multidisciplinary Sciences

The fusion-fission optimization (FuFiO) algorithm

Behnaz Nouhi et al.

Summary: In this paper, a new metaheuristic algorithm called Fusion-Fission Optimization (FuFiO) is proposed, which simulates the behavior of nuclei to enhance their binding energy and stability. Experimental results show that the FuFiO algorithm outperforms other algorithms on multiple test functions.

SCIENTIFIC REPORTS (2022)

添加到收藏夹

Article Computer Science, Information Systems

Multiobjective Atomic Orbital Search (MOAOS) for Global and Engineering Design Optimization

Mahdi Azizi et al.

Summary: This paper introduces a multi-objective optimization algorithm called MOAOS, which is a modified version of the AOS algorithm capable of handling multi-objective problems. The algorithm is evaluated using benchmark problems and real-world engineering design problems, and it produces superior or closely comparable results when compared to alternative state-of-the-art metaheuristic methods.

IEEE ACCESS (2022)

添加到收藏夹

Article Computer Science, Information Systems

War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization

Tummala. S. L. V. Ayyarao et al.

Summary: This paper proposes a metaheuristic optimization algorithm based on ancient war strategy, which achieves a good balance between exploration and exploitation stages by simulating the strategic movements of army troops during war. The algorithm introduces a novel weight updating mechanism and a weak soldier's relocation strategy to improve its convergence and robustness.

IEEE ACCESS (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Optimal design of large-scale frames with an advanced charged system search algorithm using box-shaped sections

A. Kaveh et al.

Summary: An advanced charged system search (ACSS) algorithm is proposed and used for optimizing large-scale frame structures. The efficiency of using box-shaped sections is demonstrated through comparison with other algorithms, showing better performance with box-shaped columns.

ENGINEERING WITH COMPUTERS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Chaos Game Optimization: a novel metaheuristic algorithm

Siamak Talatahari et al.

Summary: A novel metaheuristic algorithm called Chaos Game Optimization (CGO) is developed in this paper, based on chaos theory principles to solve optimization problems. Through evaluation of 239 mathematical functions and comparison with other algorithms, results indicate that CGO outperforms in most cases.

ARTIFICIAL INTELLIGENCE REVIEW (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems

Hojat Karami et al.

Summary: The present study introduced a new optimization algorithm called the Flow Direction Algorithm (FDA), which is physics-based and mimics the flow direction to the outlet point with the lowest height in a drainage basin. The algorithm was evaluated using various mathematical benchmark functions and engineering design problems, showing superior performance in solving challenging optimization problems when compared to other algorithms.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

添加到收藏夹

Article Mathematical & Computational Biology

Social Network Search for Solving Engineering Optimization Problems

Hadi Bayzidi et al.

Summary: The paper introduces a new metaheuristic optimization algorithm called social network search (SNS), which mimics the decision moods of social network users in expressing opinions. The algorithm shows effectiveness in solving engineering optimization problems by modeling real-world user behaviors in social networks.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2021)

添加到收藏夹

Article Engineering, Chemical

Material Generation Algorithm: A Novel Metaheuristic Algorithm for Optimization of Engineering Problems

Siamak Talatahari et al.

Summary: The Material Generation Algorithm (MGA) shows competitive and even outstanding results in engineering optimization design, outperforming other metaheuristics in most cases.

PROCESSES (2021)

添加到收藏夹

Article Computer Science, Information Systems

Highly Accurate Prediction Model for Daily Runoff in Semi-Arid Basin Exploiting Metaheuristic Learning Algorithms

Yamina Aoulmi et al.

Summary: This study investigates the capability of four improved ANN methods in modeling rainfall-runoff and finds that the IPSO algorithm enhances the performance of ANN in predicting daily R-R compared to other optimization approaches.

IEEE ACCESS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems

Soheyl Khalilpourazari et al.

SOFT COMPUTING (2020)

添加到收藏夹

Article Engineering, Civil

Hybrid Invasive Weed Optimization-Shuffled Frog-Leaping Algorithm for Optimal Design of Truss Structures

A. Kaveh et al.

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Dynamic differential annealed optimization: New metaheuristic optimization algorithm for engineering applications

Hazim Nasir Ghafil et al.

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Article Engineering, Civil

Dynamic Water Strider Algorithm for Optimal Design of Skeletal Structures

Ali Kaveh et al.

PERIODICA POLYTECHNICA-CIVIL ENGINEERING (2020)

添加到收藏夹

Article Computer Science, Information Systems

An Improved Crow Search Algorithm Based on Spiral Search Mechanism for Solving Numerical and Engineering Optimization Problems

Xiaoxia Han et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An upgraded firefly algorithm with feasibility-based rules for constrained engineering optimization problems

Ivona Brajevic et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Multi-objective chicken swarm optimization: A novel algorithm for solving multi-objective optimization problems

Djaafar Zouache et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

添加到收藏夹

Article Automation & Control Systems

A Physics Based Novel Approach for Travelling Tournament Problem: Optics Inspired Optimization

B. Alatas et al.

INFORMATION TECHNOLOGY AND CONTROL (2019)

添加到收藏夹

Article Engineering, Civil

The Hybrid Invasive Weed Optimization-Shuffled Frog-leaping Algorithm Applied to Optimal Design of Frame Structures

Ali Kaveh et al.

PERIODICA POLYTECHNICA-CIVIL ENGINEERING (2019)

添加到收藏夹

Article Multidisciplinary Sciences

An Improved Butterfly Optimization Algorithm for Engineering Design Problems Using the Cross-Entropy Method

Guocheng Li et al.

SYMMETRY-BASEL (2019)

添加到收藏夹

Article Computer Science, Information Systems

Enhanced Metaheuristic Optimization: Wind-Driven Flower Pollination Algorithm

Mengyi Lei et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Computer Science, Information Systems

Solving Large-Scale Function Optimization Problem by Using a New Metaheuristic Algorithm Based on Quantum Dolphin Swarm Algorithm

Weibiao Qiao et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Computer Science, Information Systems

Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms

Jesus Lovon-Melgarejo et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study

Chongchong Qi et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm

Oveis Abedinia et al.

COMPUTATIONAL INTELLIGENCE (2018)

添加到收藏夹

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)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Plant intelligence based metaheuristic optimization algorithms

Sinem Akyol et al.

ARTIFICIAL INTELLIGENCE REVIEW (2017)

添加到收藏夹

Article Computer Science, Information Systems

Selecting a Meta-Heuristic Technique for Smart Micro-Grid Optimization Problem: A Comprehensive Analysis

Baseem Khan et al.

IEEE ACCESS (2017)

添加到收藏夹

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)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

Seyedali Mirjalili et al.

NEURAL COMPUTING & APPLICATIONS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

Seyedali Mirjalili et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

MOEA/D: A multiobjective evolutionary algorithm based on decomposition

Qingfu Zhang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Ant colony optimization for multi-objective optimization problems

Ines Alaya et al.

19TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL I, PROCEEDINGS (2007)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Multiobjective structural optimization using a microgenetic algorithm

CAC Coello et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2005)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Constraint handling improvements for multiobjective genetic algorithms

A Kurpati et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2002)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Comparison of Multiobjective Evolutionary Algorithms: Empirical Results

Eckart Zitzler et al.

EVOLUTIONARY COMPUTATION (2000)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.