Unified Particle Swarm Optimization (UPSO) is a recently proposed PSO scheme that harnesses the local and global variant of PSO, combining their exploration and exploitation abilities without imposing additional requirements in terms of function evaluations [10].
We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems.
Oct 22, 2024 · We investigate the performance of the recently proposed Uni- fied Particle Swarm Optimization method on constrained engineering optimization ...
A penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions to investigate the performance of ...
Abstract. We investigate the performance of the recently proposed Uni- fied Particle Swarm Optimization method on constrained engineering.
We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems.
Penalty Function Methods for Constrained Optimization with Genetic Algorithms · Unified Particle Swarm Optimization in Dynamic Environments · Self-adaptive ...
Dec 4, 2024 · This paper addresses constrained and optimal engineering problems solved using an adapted particle swarm optimization (PSO) algorithm.
The paper presents a modified particle swarm optimization (PSO) algorithm for engineering optimization problems with constraints and shows that PSO is an ...
This paper suggests integrating a unification factor into particle swarm optimization (PSO) to balance the effects of cognitive and social terms.