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 …

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

This paper introduces a new mathematical model of the master-slave architecture for
distributed evolutionary computations (EC). This model is validated using a concrete …

Many decision problems in business and engineering may be formulated as optimization
problems. Optimization problems in practice are diverse, often complex and evolve over …

The system presented bridges the gap between three different research areas: discrete
event simulation, heuristic optimization methods and distributed systems technology. Its goal …

In this paper we introduce an Evolutionary Computation (EC) software system which
addresses many of the current needs of the EC research and development community. Java …

Heuristic optimization techniques turned out to be very well suited for attacking various kinds
of problems. However, when it comes to practical applications like scheduling problems …

Metaheuristics are general heuristics that provide suboptimal solutions in a reasonable time
for various optimization problems. They fall in two categories: local search metaheuristics …

In this paper we introduce a Java library for developing and testing genetic algorithms. The
software architecture is aimed at addressing common issues regarding system memory and …

Distributed genetic algorithm (DGA) is one of the most promising choices among the
optimization methods. In this paper we describe DGAFrame, alpha flexible framework for …