Sep 18, 2013 · This paper introduces a crossover operator of variable lengths and position to the PSO. It enables to make PSO to jump out of the local optima ...
In order to overcome the premature convergence in particle swarm optimization (PSO), we introduce dynamical crossover, a crossover operator with variable ...
Nov 28, 2023 · We propose a novel method by hybridizing a clustering method and a wrapper method to reduce the dimensionality of raw wearable datasets while preserving health ...
This study intends to present a dynamic clustering (DC) approach based on particle swarm optimization (PSO) and immune genetic (IG) (DCPIG) algorithm, which is ...
This paper shows a novel multi-swarm PSO algorithm with dynamic learning strategy. The particle classification mechanism assigns different particles with ...
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This paper presents a new hybrid algorithm, which is based on the concepts of Particle Swarm Optimization (PSO) and Greedy Randomized Adaptive Search ...
In this paper, a new feature selection method and an improved particle swarm optimization algorithm are proposed to improve the efficiency and the ...
Sep 30, 2022 · This paper constructs a modified hybrid anomaly detection (MHAD) method based on the K-means clustering algorithm, particle swarm optimization, and genetic ...
A hybrid clustering algorithm based on PSO with dynamic crossover · Jie ZhangYuping WangJunhong Feng. Computer Science. Soft Computing. 2013. TLDR. Experimental ...
Apr 1, 2021 · In this paper, a hybrid FCM-PSO algorithm, which takes advantages of FCM and PSO, is proposed for cluster analysis and MRI brain image segmentation.