A need for solving more and more complex problems drives the Evolutionary Computation
community towards advanced models of Evolutionary Algorithms. One such model is the …

We present an island model that uses different representations in each island. The model
transforms individuals from one representation to another during migrations. We show that …

In urban corridor areas, profound congestion creates a pressing need for public transit to
deliver efficient, flexible, and sustainable “door-to-door” services. This paper introduces a …

Abstract Representations are formalized as encodings that map the search space to the
vertex set of a graph. We define the notion of bit equivalent encodings and show that for …

We refer the task of finding preset (s)(ie set (s) of synthesizer parameters) that approximates
a target sound best, as the preset generation problem. PresetGen addresses this problem …

Particle swarm optimization (PSO) is a swarm-based optimization technique capable of
solving different categories of optimization problems. Nevertheless, PSO has a serious …

Permutations can represent search problems when all points in the search space have
unique evaluations. Given a particular set of N evaluations we have N! search algorithms …

We use a genetic algorithm to optimize broadband absorption by 2-D periodic arrays of
pyramidal structures made of one, two or three stacks of nickel/poly (methyl …

Fabricating of metal foams with desired morphological parameters including pore size,
porosity and pore opening is possible now using sintering technology. Thus, if it is possible …

Variable neighborhood search (VNS) systematically exploits the idea to alternate between
neighborhoods within a local search [4]. Several VNS variants have been described so far …