In this paper, we propose a new methodology that uses chaotic agents to search in promising areas that are explored by PSO. The results proved that this method ...
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A new particle swarm optimization (PSO) algorithm with has a chaotic neural network structure, is proposed. The structure is similar to the Hopfield neural ...
Particle swarm optimization (PSO) is a stochastic computation technique motivated by intelligent collective behavior of some animals, which has been widely ...
The proposed CPSO-AT algorithm converges quickly and has better stability in numerical optimization problems compared with other PSO variants.
This paper presents a chaotic particle swarm optimization (PSO) with mutation based classifier (MCPSO) based approach for classifier design. PSO algorithm is a ...
To enhance the performance of particle swarm optimization (PSO), which is an evolutionary computation technique through individual improvement plus population ...
A chaotic particle optimization algorithm for complex functions is proposed. Firstly, the algorithm uses qubit Bloch spherical coordinate coding scheme.
Jan 30, 2024 · In the Particle Swarm optimization, all members of the population communicate with each other and solve the problem through information exchange ...
This investigation elucidates the feasibility of applying chaotic particle swarm optimization (CPSO) algorithm to choose the suitable parameter combination for ...
This paper uses improved Tent chaos map to initialize, and designs a new non-linear inertial weight adjustment and chaotic search strategy.