This work focuses predominantly on unconstrained optimization problems and presents an
original algorithm (the code can be downloaded from Ref. 1), which is used for solving a …

This paper presents a co-evolutionary particle swarm optimization (CPSO) algorithm to solve
global nonlinear optimization problems. A new co-evolutionary PSO (CPSO) is constructed …

Conventional models of many combinatorial optimization problems rarely encompass real-
life problems, because real-life problems usually contain a high degree of uncertainty …

This paper presents a particle swarm optimizer to solve constrained optimization problems.
The proposed approach adopts a simple method to handle constraints of any type (linear …

Some real-life optimization problems, apart from dependence on the combination of state
variables, also show dependence on the complexity of the model describing the problem …

A fuzzy particle swarm optimization is proposed for solving complex constrained
optimization problems. Firstly, a new perturbation operator is designed, and the concepts of …

This paper proposes a Particle Swarm Optimization method for constrained optimization
problems. The proposed method uses feedback of the swarm activity for maintaining the …

This paper proposes a novel particle swarm optimization (PSO) for solving constrained
optimization problems. Based upon the acceptable assumption that any feasible solution is …

This article presents an original adaptation of particle swarm for solving high dimensional
optimization problems with discrete variables. The proposed method combines Particle …

High dimensional optimization considers being one of the most challenges that face the
algorithms for finding an optimal solution for real-world problems. These problems have …