Proceedings of the Second European Workshop on Genetic Programming
Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series)
Pricing the 'free lunch' of meta-evolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Peer-to-peer evolutionary algorithms with adaptive autonomous selection
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Cellular Genetic Algorithms
Parameter Setting in Evolutionary Algorithms
Parameter Setting in Evolutionary Algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An algorithm for distributed on-line, on-board evolutionary robotics
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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We introduce a novel evolutionary algorithm where the centralized oracle ---the selection-reproduction loop--- is replaced by a distributed system of Fate Agents that autonomously perform the evolutionary operations. This results in a distributed, situated, and self-organizing EA, where candidate solutions and Fate Agents co-exist and co-evolve. Our motivation comes from evolutionary swarm robotics where candidate solutions evolve in real time and space. As a first proof-of-concept, however, here we test the algorithm with abstract function optimization problems. The results show that the Fate Agents EA is capable of evolving good solutions and it can cope with noise and changing fitness landscapes. Furthermore, an analysis of algorithm behavior also shows that this EA successfully regulates population sizes and adapts its parameters.