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Improvement of Particle Swarm Optimization Focusing on Diversity of the Particle Swarm
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020PSO (Particle Swarm Optimization) is attracting attention in recent years to solve the multivariate optimization problems. In PSO, multiple individuals (particles) which records its own position and velocity information are placed in the corresponding search space, and the particle swarm move to discover the optimal solution by sharing information with
Tomohiro Hayashida +3 more
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An Improved Two-Swarm Based Particle Swarm Optimization Algorithm
2006 6th World Congress on Intelligent Control and Automation, 2006Basic Particle Swarm Optimization (PSO) algorithm are susceptible to being trapped into local optimum and premature convergence happens. Inspired by the idea of genetic algorithm (GA), a new two-swarm based PSO algorithm (TSPSO) with roulette wheel selection is proposed. With different parameter settings, the two swarms have different flying trajectory,
null Ting Li +2 more
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An Improved Multi-objective Particle Swarm Optimization
2020 5th International Conference on Computational Intelligence and Applications (ICCIA), 2020For solving multi-objective optimization problems, this paper firstly combines a multi-objective evolutionary algorithm based on decomposition (MOEA/D) with good convergence and non-dominated sorting genetic algorithm II (NSGA-II) with good distribution to construct. Thus we propose a hybrid multi-objective optimization solving algorithm.
Shengbing Xu +2 more
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An improved cooperative particle swarm optimizer
Telecommunication Systems, 2013Particle Swarm Optimization (PSO) is a population-based technique for optimization, which simulates the social behavior of the bird flocking, a novel Adaptive Cooperative PSO (ACPSO) with adaptive search is presented in this paper, the proposed approach combines both cooperative learning and PSO with adaptive inertia weight, cooperative learning is ...
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An Improved Particle Swarm Optimization Algorithm
2019Based on a brief introduction to the principle of particle swarm optimization (PSO) and different improved methods of PSO at home and abroad, the particle swarm optimization algorithm is improved for the shortcomings of particle swarm optimization.
Chunguang Chang, Xi Wu
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An improved particle filter for mobile robot localization based on particle swarm optimization
Expert systems with applications, 2019As one of the most important issues in the field of mobile robotics, self-localization allows a mobile robot to identify and keep track of its own position and orientation as the robot moves through the environment.
Qibin Zhang +2 more
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Cyber Swarm Algorithms – Improving particle swarm optimization using adaptive memory strategies
European Journal of Operational Research, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yin, Peng-Yeng +3 more
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An Improved Particle Swarm Optimization Algorithm with Adaptive Inertia Weights
International Journal of Information Technology and Decision Making, 2019The particle swarm optimization (PSO) algorithm is simple to implement and converges quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance global exploration and local exploitation of the population, and on ...
Mi Li +4 more
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Improved quantum behaved particle swarm optimization algorithm
2016 Chinese Control and Decision Conference (CCDC), 2016In this paper, the quantum behaved particle swarm optimization algorithm(QPSO) is improved, and the Benchmark function is used to test the improved Quantum behaved particle swarm optimiaztion algorithm(CQPSO). The results show that the improved quantum behaved particle swarm algorithm has better convergence.
ShuJiang Li +2 more
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