This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Search-based optimization techniques have been applied to structural software test data
generation since 1992, with a recent upsurge in interest and activity within this area …

This chapter aims to address some of the fundamental issues that are often encountered in
optimization problems, making them difficult to solve. These issues include premature …

In recent years, there has been a growing interest in studying evolutionary algorithms (EAs)
for dynamic optimization problems (DOPs). Among approaches developed for EAs to deal …

Bioinformatics is a promising and innovative research field in 21st century. Despite of a high
number of techniques specifically dedicated to bioinformatics problems as well as many …

One of the choices that most affect the performance of Evolutionary Algorithms is the
selection of the variation operators that are efficient to solve the problem at hand. This work …

Estimation of distribution algorithms are evolutionary algorithms using probabilistic
techniques instead of traditional genetic operators. Recently, the application of probabilistic …

Genetic algorithms (GAs) are widely used in the worlds of computer music and art. These
algorithms are well suited to problems in which a search for an optimal candidate …

Recombinative genetic algorithms have been used in a wide range of engineering and
scientific fields to quickly procure usable solutions to poorly understood combinatorial …

When is a problem easy or difficult for a genetic algorithm? This work focuses on unitation
functions as tests for the efficiency of a genetic algorithm in reaching an optimal solution. We …