In recent years, swarm-based stochastic optimizers have achieved remarkable results in tackling real-life problems in engineering and data science. When it comes to the particle swarm optimization (PSO), the comprehensive learning PSO (CLPSO) is a well-established evolutionary algorithm that introduces a comprehensive learning strategy (CLS), which effectively boosts the efficacy of the PSO. However, when the single modal function is processed, the convergence speed of the algorithm is too slow to converge quickly to the optimum during optimization. In this paper, the elite-based dominance scheme of another well-established method, grey wolf optimizer (GWO), is introduced into the CLPSO, and the grey wolf local enhanced comprehensive learni...
Inspired by social behavior of bird flocking or fish schooling, Eber-hart and Kennedy first develope...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimizatio...
Particle swarm optimization (PSO) is a popular method widely used in solving different optimization ...
The concept of particle swarms originated from the simulation of the social behavior commonly observ...
In this paper, a new variant of particle swarm optimisation (PSO) called PSO with improved learning...
In this paper, a multi-strategy adaptive comprehensive learning particle swarm optimization algorith...
Abstract-As a representative method of swarm intelligence, Particle Swarm Optimization (PSO) is an a...
A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particl...
Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social b...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Obtaining high convergence and uniform distributions remains a major challenge in most metaheuristic...
In this report, a new particle swarm optimization algorithm termed as Human Cognition Inspired Parti...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
Inspired by social behavior of bird flocking or fish schooling, Eber-hart and Kennedy first develope...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimizatio...
Particle swarm optimization (PSO) is a popular method widely used in solving different optimization ...
The concept of particle swarms originated from the simulation of the social behavior commonly observ...
In this paper, a new variant of particle swarm optimisation (PSO) called PSO with improved learning...
In this paper, a multi-strategy adaptive comprehensive learning particle swarm optimization algorith...
Abstract-As a representative method of swarm intelligence, Particle Swarm Optimization (PSO) is an a...
A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particl...
Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social b...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Obtaining high convergence and uniform distributions remains a major challenge in most metaheuristic...
In this report, a new particle swarm optimization algorithm termed as Human Cognition Inspired Parti...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
Inspired by social behavior of bird flocking or fish schooling, Eber-hart and Kennedy first develope...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimizatio...