An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization

Particle Swarm Optimization Performance for Unconstrained Optimization Problems

Particle swarm Optimization (PSO) is mainly inspired by social behavior patterns of organisms that live and interact within large groups. The term PSO refers to a relatively new family of algorithms that is used to find optimal or near to optimal solutions to numerical and qualitative problems. It is an optimization paradigm that simulates the ability of human to process knowledge. The capabili...

Enhanced Particle Swarm Optimization

An approach to Improve Particle Swarm Optimization Algorithm Using CUDA

The time consumption in solving computationally heavy problems has always been a concern for computer programmers. Due to simplicity of its implementation, the PSO (Particle Swarm Optimization) is a suitable meta-heuristic algorithm for solving computationally heavy problems. However, despite the simplicity, the algorithm is inefficient for solving real computationally heavy problems but the pr...

Search Optimization using Multiobjective Particle Swarm Optimization

The reusability provides many benefits such as increasing productivity, Reliability & Quality along with reducing the cost &development time and if the number of components developed is not according to the requirement then the technique of reusability is of great help. The main problem faced by the CBSE in reusability is to select the component for reuse as before reusing there is need to retr...

Diversity enhanced particle swarm optimization with neighborhood search

a School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, PR China b School of Computer, China University of Geosciences, Wuhan 430072, PR China c Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Oshawa, ON, Canada L1H 7K4 d Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen ...