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Improved Particle Swarm Optimization algorithms for electromagnetic optimization
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2008Particle Swarm is a relatively novel approach for global stochastic optimization. In this paper some variations over the basic algorithm are proposed, with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms are then applied to a mathematical test function
MUSSETTA, MARCO +4 more
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Three Sub-Swarm Particle Swarm Optimization Algorithm
2009 International Workshop on Intelligent Systems and Applications, 2009In order to overcome the drawback of the standard PSO, such as being subject to falling into local optimization, an improved PSO algorithm based on three sub-swarms exchange is proposed. Firstly the method divides the whole swarm into three sub-swarms which evolve jointly according to three different models, that is, one evolves with the standard PSO ...
Ming-Ming Bai +4 more
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Bacterial Particle Swarm Optimization Algorithm
Advanced Materials Research, 2011The loss of the population diversity leads to the premature convergence in existing particle swarm optimization(PSO) algorithm. In order to solve this problem, a novel version of PSO algorithm called bacterial PSO(BacPSO), was proposed in this paper. In the new algorithm, the individuals were replaced by bacterial, and a new evolutionary mechanism was ...
Ming Li, Xue Ling Ji
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Improved Particle Swarm Optimization Algorithm
2010 International Conference on Computational Intelligence and Software Engineering, 2010Particle Swarm Optimization (PSO) is a new random computational method for tackling optimization functions. However, it is easily trapped into the local optimum when solving the complexity and high-dimensional problems, which makes the performance of PSO greatly reduced.
Ye Gao, Shan Li
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Multivector particle swarm optimization algorithm
Soft Computing, 2019This paper proposes an improved meta-heuristic algorithm called multivector particle swarm optimization (MVPSO) for solving single-objective optimization problems. MVPSO improves particle swarm optimization (PSO) algorithm by creating more possible solutions for each particle during the optimization process.
Hussam N. Fakhouri +2 more
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A Particle Swarm Optimization Algorithm
Applied Mechanics and Materials, 2013The basic and improved algorithms of PSO focus on how to effectively search the optimal solution in the solution space using one of the particle swarm. However, the particles are always chasing the global optimal point and such points currently found on their way of search, rapidly leading their speed down to zero and hence being restrained in the ...
Fei Hong Zhou, Zi Zhen Liao
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Fuzzy Particle Swarm Optimization Algorithm
2009 International Joint Conference on Artificial Intelligence, 2009In this paper, a novel fuzzy particle swarm optimization(NFPSO), in which inertia weight as well as the learning coefficient can be adaptively adjusted according to the control information translated from the fuzzy logic controller (FLC) during the search process, is presented by introducing a two-input and two-output FLC into the canonical particle ...
Dong-ping Tian, Nai-qian Li
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Two Sub-swarms Particle Swarm Optimization Algorithm
2005This paper proposes a two sub-warms particle swarm optimization algorithm (TSPSO) and its iteration equations. The new algorithm assumes that particles are divided into two sub-swarms. The two sub-swarms have different move directions. One sub-swarm moves toward the global best position. Another moves in the opposite direction.
Guochu Chen, Jinshou Yu
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Center Particle Swarm Optimization Algorithm
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2019The linear decreasing weight particle swarm optimization algorithm (LDWPSO) is mentioned in the concept of a center particle, and then puts forward center particle swarm optimization algorithm (PSO). The linear decreasing weight particle swarm optimization algorithm, unlike other general center particle, particle velocity center is not clear, and is ...
Yang Xiaojing, Jiao Qingju, Liu Xinke
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Quantum Particle Swarm Optimization Algorithm
Applied Mechanics and Materials, 2011Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles’ diversities and avoid the premature convergence effectively. Experimental results show that this method proposed by this paper has stronger optimal ability and better global searching ...
Yu Fa Xu +3 more
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