منابع مشابه
A benchmark for cooperative coevolution
Cooperative co-evolution algorithms (CCEA) are a thriving sub-field of evolutionary computation. This class of algorithms makes it possible to exploit more efficiently the artificial Darwinist scheme, as soon as an optimisation problem can be turned into a co-evolution of interdependent sub-parts of the searched solution. Testing the efficiency of new CCEA concepts, however, it is not straightf...
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We present an analysis of the behaviour of Cooperative Co-evolution algorithms (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 inte...
متن کاملNovelty-Driven Cooperative Coevolution
Cooperative coevolutionary algorithms (CCEAs) rely on multiple coevolving populations for the evolution of solutions composed of coadapted components. CCEAs enable, for instance, the evolution of cooperative multiagent systems composed of heterogeneous agents, where each agent is modelled as a component of the solution. Previous works have, however, shown that CCEAs are biased toward stability:...
متن کاملA Benchmark for Cooperative Learning Agents
Introduction Cooperative multi-agent systems are of current interest due to their relevance to both robotics and networking. Researchers often create machine learning environments to explore these domains; however, the lack of reuse of previous environments prevents comparisons between the works of research groups. Further, while a growing understanding of the relationships between problem doma...
متن کاملCooperative Coevolution Fusion for Moving Object Detection
In this paper we introduce a novel sensor fusion algorithm based on the cooperative coevolutionary paradigm. We develop a multisensor robust moving object detection system that can operate under a variety of illumination and environmental conditions. Our experiments indicate that this evolutionary paradigm is well suited as a sensor fusion model and can be extended to different sensing modalities.
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ژورنال
عنوان ژورنال: Memetic Computing
سال: 2012
ISSN: 1865-9284,1865-9292
DOI: 10.1007/s12293-012-0095-x