Particle swarm optimization (PSO) has undergone many changes since its introduction in
1995. As researchers have learned about the technique, they have derived new versions …

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-
specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies …

This paper presents an overview of our most recent results concerning the Particle Swarm
Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting …

Many scientific, engineering and economic problems involve the optimisation of a set of
parameters. These problems include examples like minimising the losses in a power grid by …

This paper constitutes a first study of the Particle Swarm Optimization (PSO) method in
Multiobjective Optimization (MO) problems. The ability of PSO to detect Pareto Optimal …

This paper presents approaches for effectively computing all global minimizers of an
objective function. The approaches include transformations of the objective function through …

SOCIETY. To become official, the name needs to be approved by the Board of Directors
which is expected to meet on June 20, 2004. As many of you may remember, the motion to …

The investigation of the performance of the particle swarm optimization (PSO) method in
integer programming problems, is the main theme of the present paper. Three variants of …

Within the field of multi-robot systems, multi-robot search is one area which is currently
receiving a lot of research attention. One major challenge within this area is to design …

In this paper, a new approach is developed for structural shape optimization, which consists
in coupling the particle swarm optimization (PSO) algorithm and the isogeometric boundary …