The field of parallel metaheuristics is continuously evolving as a result of new technologies
and needs that researchers have been encountering. In the last decade, new models of …

A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …

In this paper, we present the ParadisEO white-box object-oriented framework dedicated to
the reusable design of parallel and distributed metaheuristics (PDM). ParadisEO provides a …

With the pressing regulatory requirement to increase energy efficiency in our built
environment, significant researching efforts have been recently directed towards energy …

This book is the result of several years of research trying to better characterize parallel
genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers …

Many optimization problems cannot be solved by classical mathematical optimization
techniques due to their complexity and the size of the solution space. In order to achieve …

This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …

Today numerous variants of heuristic optimization algorithms are used to solve different
kinds of optimization problems. This huge variety makes it very difficult to reuse already …

ECJ is a mature and widely used evolutionary computation library with particular strengths in
genetic programming, massive distributed computation, and coevolution. In Fall of 2016 we …

Summary form only given. This article gives a brief overview of theoretical advances,
computing trends, applications and future perspectives in parallel genetic algorithms. It …