Abstract: The performance of existing multi-objective particle swarm optimization algorithms largely depends on the global or individual optimal particles stored in the external archive. To simplify ...

Abstract: This paper proposes a modified particle swarm optimization algorithm for engineering optimization problems with constraints, in which the penalty function is employed to the traditional PSO ...

A multiple objective particle swarm optimization (MOPSO ... the decision maker to identify the best compromise solution. In this paper, a multi-objective optimization algorithm is proposed to minimize ...

In this study, we propose a multi-objective particle swarm algorithm-based optimal scheduling method for household microgrids. A household microgrid optimization model is formulated, taking into ...

To deal with the problems of premature convergence and tending to jump into the local optimum in the traditional particle swarm optimization, a novel improved particle swarm optimization algorithm was ...

The Particle Swarm Optimizer is an Algorithm which iteratively searches for the optimal solution in a search space, according to a fitness evaluation. The swarm consists of a number of particles, ...

Multi-Objective particle swarm optimization algorithm (MOPSO) for a minimization problem. In this project, nonlinear constraints are implemented as infeasible solutions. This project is implemented in ...