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A review of particle swarm optimization
This paper presents an overview of the research progress in Particle Swarm Optimization
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …
A survey of algorithms, applications and trends for particle swarm optimization
Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …
effectively dealing with various optimization problems. A detailed overview of the original …
A survey on GPU-based implementation of swarm intelligence algorithms
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs)
have been developed and widely used for solving optimization problems. When applied to …
have been developed and widely used for solving optimization problems. When applied to …
Adaptive particle swarm optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than
classical particle swarm optimization (PSO) is presented. More importantly, it can perform a …
classical particle swarm optimization (PSO) is presented. More importantly, it can perform a …
Particle swarm optimization with an aging leader and challengers
In nature, almost every organism ages and has a limited lifespan. Aging has been explored
by biologists to be an important mechanism for maintaining diversity. In a social animal …
by biologists to be an important mechanism for maintaining diversity. In a social animal …
[PDF][PDF] Particle swarm optimization: technique, system and challenges
ABSTRACT Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …
Diversity enhanced particle swarm optimization with neighborhood search
Particle Swarm Optimization (PSO) has shown an effective performance for solving variant
benchmark and real-world optimization problems. However, it suffers from premature …
benchmark and real-world optimization problems. However, it suffers from premature …
A self-learning particle swarm optimizer for global optimization problems
Particle swarm optimization (PSO) has been shown as an effective tool for solving global
optimization problems. So far, most PSO algorithms use a single learning pattern for all …
optimization problems. So far, most PSO algorithms use a single learning pattern for all …
On global smooth path planning for mobile robots using a novel multimodal delayed PSO algorithm
The planning problem for smooth paths for mobile robots has attracted particular research
attention, but the strategy combining the heuristic intelligent optimization algorithm (eg …
attention, but the strategy combining the heuristic intelligent optimization algorithm (eg …
Memory based hybrid crow search algorithm for solving numerical and constrained global optimization problems
Abstract Crow Search Algorithm (CSA) is a promising meta-heuristic method developed
based on the intelligent conduct of crows in nature. This algorithm lacks a good …
based on the intelligent conduct of crows in nature. This algorithm lacks a good …