Suchergebnisse - "Particle Swarm Optimization algorithm"

Particle swarm optimization algorithm: an overview von Wang, Dongshu, Tan, Dapei, Liu, Lei

“… Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm motivated by intelligent collective behavior of some animals such as …”
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Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review von Gad, Ahmed G.

“… One of the most popular SI paradigms, the Particle Swarm Optimization algorithm (PSO), is presented in this work …”
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Hybrid Particle Filter-Particle Swarm Optimization Algorithm and Application to Fuzzy Controlled Servo Systems von Pozna, Claudiu, Precup, Radu-Emil, Horvath, Erno, Petriu, Emil M.

“… This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The …”
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An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors – A case study von Marichelvam, M.K., Geetha, M., Tosun, Ömür

“… •An improved particle swarm optimization algorithm is proposed to solve the hybrid flow shop scheduling problems to minimize the weighted sum of makespan and total flow time …”
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Self regulating particle swarm optimization algorithm von Tanweer, M.R., Suresh, S., Sundararajan, N.

“… In this paper, we propose a new particle swarm optimization algorithm incorporating the best human learning strategies for finding the optimum solution, referred to as a Self Regulating Particle Swarm Optimization (SRPSO) algorithm …”
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A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm von Zeng, Nianyin, Wang, Zidong, Liu, Weibo, Zhang, Hong, Hone, Kate, Liu, Xiaohui

“… In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is proposed, where a new velocity updating mechanism is designed to adjust the …”
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A social learning particle swarm optimization algorithm for scalable optimization von Cheng, Ran, Jin, Yaochu

“… Social learning plays an important role in behavior learning among social animals. In contrast to individual (asocial) learning, social learning has the …”
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A self-adaptive gradient-based particle swarm optimization algorithm with dynamic population topology von Zhang, Daren, Ma, Gang, Deng, Zhuoran, Wang, Qiao, Zhang, Guike, Zhou, Wei

“… Based on the above knowledge, a novel particle swarm optimization algorithm with a self-organizing topology structure and self-adaptive adjustable parameters is proposed (KGPSO …”
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A hybrid particle swarm optimization algorithm using adaptive learning strategy von Wang, Feng, Zhang, Heng, Li, Kangshun, Lin, Zhiyi, Yang, Jun, Shen, Xiao-Liang

“… Many optimization problems in reality have become more and more complex, which promote the research on the improvement of different optimization algorithms …”
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A particle swarm optimization algorithm for mixed-variable optimization problems von Wang, Feng, Zhang, Heng, Zhou, Aimin

“… Many optimization problems in reality involve both continuous and discrete decision variables, and these problems are called mixed-variable optimization …”
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Quantum particle swarm optimization algorithm based on diversity migration strategy von Gong, Chen, Zhou, Nanrun, Xia, Shuhua, Huang, Shuiyuan

“… Particle swarm optimization algorithm has been successfully applied to solve practical optimization problems due to its simplicity and efficiency …”
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A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization von Wang, Feng, Wang, Xujie, Sun, Shilei

“… •A level-based population structure is adopted to exploration ability.•A reinforcement learning strategy is introduced to improve the search efficiency.•A …”
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Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions von Cao, Yulian, Zhang, Han, Li, Wenfeng, Zhou, Mengchu, Zhang, Yu, Chaovalitwongse, Wanpracha Art

“… A comprehensive learning particle swarm optimizer (CLPSO) embedded with local search (LS) is proposed to pursue higher optimization performance by taking the …”
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Multivector particle swarm optimization algorithm von Fakhouri, Hussam N., Hudaib, Amjad, Sleit, Azzam

“… This paper proposes an improved meta-heuristic algorithm called multivector particle swarm optimization (MVPSO) for solving single-objective optimization …”
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Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm von Zhang, Xizheng, Wang, Zeyu, Lu, Zhangyu

“… •Modified gravitational search algorithm and particle swarm optimization algorithm to solve load dispatch …”
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Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm von Tharwat, Alaa, Elhoseny, Mohamed, Hassanien, Aboul Ella, Gabel, Thomas, Kumar, Arun

“… Path planning algorithms have been used in different applications with the aim of finding a suitable collision-free path which satisfies some certain criteria …”
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A novel particle swarm optimization algorithm with Levy flight von Haklı, Hüseyin, Uğuz, Harun

“… •This paper proposes a new approach for solving continuous optimization problems.•The proposed approach is a combination of particle swarm optimization (PSO) …”
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CAPSO: Chaos Adaptive Particle Swarm Optimization Algorithm von Duan, Youxiang, Chen, Ning, Chang, Lunjie, Ni, Yongjing, Kumar, S. V. N. Santhosh, Zhang, Peiying

“… As an influential technology of swarm evolutionary computing (SEC), the particle swarm optimization (PSO) algorithm has attracted extensive attention from all …”
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A hybrid particle swarm optimization algorithm for solving engineering problem von Qiao, Jinwei, Wang, Guangyuan, Yang, Zhi, Luo, Xiaochuan, Chen, Jun, Li, Kan, Liu, Pengbo

“… To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm …”
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Flexible Metasurface for Microwave‐Infrared Compatible Camouflage via Particle Swarm Optimization Algorithm von Nam, Juyeong, Chang, Injoong, Lim, Joon‐Soo, Woo, Haneul, Yook, Jong‐Gwan, Cho, Hyung Hee

“… Metamaterials have the powerful ability to freely control multiband electromagnetic (EM) waves through elaborately designed “artificial atoms” and are hence in …”
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