In this algorithm, the swarm population is divided into two subpopulations. Each subpopulation is assigned to focus solely on either exploration or exploitation ...
This paper presents a comprehensive learning particle swarm optimization algorithm with enhanced exploration and exploitation, named as “heterogeneous ...
In this algorithm, the swarm population is divided into two subpopulations. Each subpopulation is assigned to focus solely on either exploration or exploitation ...
Jun 23, 2015 · This paper presents a comprehensive learning particle swarm optimization algorithm with enhanced exploration and exploitation, named as ...
This research investigates the placement optimization of oscillating buoy-type wave energy converters (WEC).
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Sep 20, 2022 · The HCLPSO updating the velocities with the deterministic LDS can significantly reduce the iterations required for finding the optimal solution, without ...
Sep 19, 2024 · In the proposed HPBPSO algorithm, the population is divided into two subpopulations: the exploration population and the exploitation population.
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Nandar Lynn, Ponnuthurai Nagaratnam Suganthan.
This paper proposes an adaptive heterogeneous particle swarm optimization with a comprehensive learning strategy for solving single-objective constrained ...
Jun 19, 2024 · Heterogeneous comprehensive learning particle swarm optimization (HCLPSO) is a type of evolutionary algorithm with enhanced exploration and ...