Abstract: Competition is introduced among the populations of a number of genetic algorithms (GAs) in solving optimization problems. The aim is to adapt the parameters of the GAs, by altering the resources of the system, so as to ...

Abstract: In this work, the particle swarm optimization method is employed for the reliability-based optimal design of statically determinate truss structures. Particle swarm optimization is inspired by the social behavior of flocks ...

Abstract: Several variants of differential evolution (DE), particle swarm optimization, and genetic algorithms are employed for the identification of a Bouc-Wen hysteretic system that represents a full-scale bolted-welded steel ...