Knowledge-guided multiobjective particle swarm optimization with fusion learning strategies

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...

Multiobjective Particle Swarm Optimization Using Fuzzy Logic

The paper presents FMOPSO a multiobjective optimization method that uses a Particle Swarm Optimization algorithm enhanced with a Fuzzy Logic-based controller. Our implementation makes use of a number of fuzzy rules as well as dynamic membership functions to evaluate search spaces at each iteration. The method works based on Pareto dominance and was tested using standard benchmark data sets. Our...

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization

Vector evaluated particle swarm optimization (VEPSO) is a multi-swarm variant of the traditional particle swarm optimization (PSO) algorithm applied to multi-objective problems (MOPs). Each subobjective is allocated a single sub-swarm and knowledge transfer strategies (KTSs) are used to pass information between swarms. The original VEPSO used a ring KTS, and while VEPSO has shown to be successf...

Particle swarm with extended memory for multiobjective optimization

Multiobjective Optimization Using Parallel Vector Evaluated Particle Swarm Optimization

This paper studies a parallel version of the Vector Evaluated Particle Swarm Optimization (VEPSO) method for multiobjective problems. Experiments on well known and widely used test problems are performed, aiming at investigating both the efficiency of VEPSO as well as the advantages of the parallel implementation. The obtained results are compared with the corresponding results of the Vector Ev...