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In this paper, a hybrid PSO algorithm is proposed. The new algorithm uses a simulated annealing based weighted-sum method to perform local search.
In this paper, a hybrid PSO algorithm is proposed. The new algorithm uses a simulated annealing based weighted-sum method to perform local search. The local.
A New Model Based Hybrid Particle Swarm Algorithm for Multi ...
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In this paper, a hybrid PSO algorithm is proposed. The new algorithm uses a simulated annealing based weighted-sum method to perform local search.
In this paper, a hybrid PSO algorithm is proposed. The new algorithm uses a simulated annealing based weighted-sum method to perform local search.
Nov 25, 2024 · The hybrid particle swarm multi-objective optimization algorithm is based on the principle that ants can always find the shortest path in ...
The new algorithm includes three major improvement: (I)Population initialization is constructed by statistical method Uniform Design, (II)Regeneration method ...
Feb 15, 2020 · This paper proposes a novel hybrid optimization algorithm that combines the merits of salp swarm optimization (SSO) algorithm with particle swarm optimization ...
Aug 29, 2018 · In this paper, a hybrid optimization algorithm is proposed to solve multiobjective optimal power flow problems (MO-OPF) in a power system.
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Mar 9, 2022 · In this algorithm, a disturbance strategy based on boundary fluctuations is first used for the updated new particles and nondominant particles.
Jul 24, 2023 · This research aims to develop an efficient exploration and exploitation algorithm with faster convergence using a limited iterative process.