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An improved particle swarm optimization algorithm
Applied Mathematics and Computation, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yan Jiang +3 more
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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 Fakhouri +2 more
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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 ...
Dongping Tian, Naiqian Li
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Particle swarm optimization algorithm: an overview
Soft Computing, 2017Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm motivated by intelligent collective behavior of some animals such as flocks of birds or schools of fish. Since presented in 1995, it has experienced a multitude of enhancements.
Dongshu Wang, Dapei Tan, Lei Liu 0077
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Particle Swarm Optimization System Algorithm
2007Particle Swarm Optimization algorithm (PSO) is a new evolutionary computation method, which has been successfully applied to many fields. However it also has problem of premature convergence and slow search speed. To deal with those problems we make some improvements on traditional PSO to make its search velocity quickly.
Manjun Cai +3 more
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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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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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Evolutionary Intelligence, 2020
The salp swarm algorithm (SSA) has shown its fast search speed in several challenging problems. Research shows that not every nature-inspired approach is suitable for all applications and functions. Additionally, it does not provide the best exploration and exploitation for each function during the search process.
Narinder Singh +2 more
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The salp swarm algorithm (SSA) has shown its fast search speed in several challenging problems. Research shows that not every nature-inspired approach is suitable for all applications and functions. Additionally, it does not provide the best exploration and exploitation for each function during the search process.
Narinder Singh +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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Optimal parameter regions for particle swarm optimization algorithms
2017 IEEE Congress on Evolutionary Computation (CEC), 2017Particle swarm optimization (PSO) is a stochastic search algorithm based on the social dynamics of a flock of birds. The performance of the PSO algorithm is known to be sensitive to the values assigned to its control parameters. While many studies have provided reasonable ranges in which to initialize the parameters based on their long-term behaviours,
Kyle Robert Harrison +2 more
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