This study proposes a novel Integrated Learning Particle Swarm Optimizer (ILPSO), for
optimizing complex multimodal functions. The algorithm modifies the learning strategy of …

This paper proposes an adaptive fuzzy PSO (AFPSO) algorithm, based on the standard
particle swarm optimization (SPSO) algorithm. The proposed AFPSO utilizes fuzzy set theory …

In recent years, particle swarm optimization (PSO) has extensively applied in various
optimization problems because of its simple structure. Although the PSO may find local …

Particle swarm optimization (PSO) algorithm has the ability of global optimization, but it often
suffers from premature convergence problem, especially in high-dimensional multimodal …

This paper proposes a new scheme for preventing a Particle Swarm Optimizer from
premature convergence on multimodal optimization problems. Instead of only using fitness …

This article presents a novel parallel multi-swarm optimization (PMSO) algorithm with the
aim of enhancing the search ability of standard single-swarm PSOs for global optimization of …

This paper proposes Hyperspherical Acceleration Effect Particle Swarm Optimization
(HAEPSO) for optimizing complex, multi-modal functions. The HAEPSO algorithm finds the …

This research paper presents a new evolutionary optimization model based on the particle
swarm optimization (PSO) algorithm that incorporates the flocking behavior of a spider. The …

This paper presents a variant of particle swarm optimizers (PSOs) that we call the
comprehensive learning particle swarm optimizer (CLPSO), which uses a novel learning …

A comprehensive learning particle swarm optimizer (CLPSO) embedded with local search
(LS) is proposed to pursue higher optimization performance by taking the advantages of …