In their original versions, nature-inspired search algorithms such as evolutionary algorithms
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …

In this research, an easy-to-use particle swarm optimizer (PSO) for solving constrained
engineering design problems involving mixed-integer-discrete-continuous (MIDC) variables …

Motion planning and trajectory control are two basic challenges of unmanned vehicles. In
motion planning problem, feasible trajectories are developed while nonlinear dynamic …

Abstract Scope and Method of Study. Over the years, most multiobjective particle swarm
optimization (MOPSO) algorithms are developed to effectively and efficiently solve …

Performance characteristic of an Unmanned Air Vehicle (UAV) is investigated using a newly
developed heuristic approach. Almost all flight phases of any air vehicle can be categorized …

Bio-inspired optimization algorithms have been gaining more popularity recently. One of the
most important of these algorithms is particle swarm optimization (PSO). PSO is based on …

List of References on Constraint-Handling Techniques used with Evolutionary Algorithms
Page 1 List of References on Constraint-Handling Techniques used with Evolutionary …

In this article, the authors propose a particle swarm optimization (PSO) for constrained
optimization. The proposed PSO adopts a multiobjective approach to constraint handling …

In a previous work we used a popular bio-inspired algorithm; particle swam optimization
(PSO) to improve the performance of a well-known representation method of time series …

Abstract Particle Swarm Optimization (PSO), one of the versatile nature-inspired optimization
algorithm, continue to suffer from premature convergence despite the numerous amount of …