Actes à paraître en 2012 in Journal of Memetic computing (special issue). http://www.springer.com/engineering/computational+intelligence+and+complexity/journal/12293International audienceWe present an analysis of the behaviour of Cooperative Co-evolution agorithms (CCEAs) on a simple test problem, that is the optimal placement of a set of lamps in a square room, for various problems sizes. Cooperative Co-evolution makes it possible to exploit more efficiently the artificial Darwinism scheme, as soon as it is possible to turn the optimisation problem into a co-evolution of interdependent sub-parts of the searched solution. We show here how two cooperative strategies, Group Evolution (GE) and Parisian Evolution (PE) can be built for the lamps...
Cooperative coevolutionary algorithms (CCEAs) rely on multiple coevolving popula-tions for the evolu...
Standard Cooperative Co-evolution uses a round-robin method to select subcomponents to undergo optim...
Abstract. Many aspects of Software Engineering problems lend themselves to a coevolutionary model of...
Actes à paraître en 2012 in Journal of Memetic computing (special issue). http://www.springer.com/en...
Chapter 7We present an analysis of the behaviour of Cooperative Co-evolution algorithms (CCEAs) on a...
We present an analysis of the behaviour of Cooperative Co-evolution algorithms (CCEAs) on a simple t...
the date of receipt and acceptance should be inserted later Abstract Cooperative co-evolution algori...
Cooperative co-evolution algorithms (CCEA) are a thriving sub-field of evolutionary computation. Thi...
Multi-agent systems require coordination of sources with distinct expertise to perform complex tasks...
IEEE The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong in 19...
Abstract — The task of understanding coevolutionary algorithms is a very difficult one. These algori...
Simple Genetic Algorithm(SGA) proposed by J. H. Holland is a population-based optimization method ba...
iii Many problems encountered in computer science are best stated in terms of interactions amongst i...
Cooperation applies the situations where two or more individuals obtain a net benefit by working tog...
Cooperative coevolutionary algorithms (CCEAs) rely on multiple coevolving popula-tions for the evolu...
Standard Cooperative Co-evolution uses a round-robin method to select subcomponents to undergo optim...
Abstract. Many aspects of Software Engineering problems lend themselves to a coevolutionary model of...
Actes à paraître en 2012 in Journal of Memetic computing (special issue). http://www.springer.com/en...
Chapter 7We present an analysis of the behaviour of Cooperative Co-evolution algorithms (CCEAs) on a...
We present an analysis of the behaviour of Cooperative Co-evolution algorithms (CCEAs) on a simple t...
the date of receipt and acceptance should be inserted later Abstract Cooperative co-evolution algori...
Cooperative co-evolution algorithms (CCEA) are a thriving sub-field of evolutionary computation. Thi...
Multi-agent systems require coordination of sources with distinct expertise to perform complex tasks...
IEEE The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong in 19...
Abstract — The task of understanding coevolutionary algorithms is a very difficult one. These algori...
Simple Genetic Algorithm(SGA) proposed by J. H. Holland is a population-based optimization method ba...
iii Many problems encountered in computer science are best stated in terms of interactions amongst i...
Cooperation applies the situations where two or more individuals obtain a net benefit by working tog...
Cooperative coevolutionary algorithms (CCEAs) rely on multiple coevolving popula-tions for the evolu...
Standard Cooperative Co-evolution uses a round-robin method to select subcomponents to undergo optim...
Abstract. Many aspects of Software Engineering problems lend themselves to a coevolutionary model of...