Interactive and Descriptor-Based Deployment of Object-Oriented Grid Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Parallel Genetic Algorithms on Distributed-Memory Architectures
Parallel Genetic Algorithms on Distributed-Memory Architectures
Cell2Organ: self-repairing artificial creatures thanks to a healthy metabolism
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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Genetic algorithms are very demanding in terms of computing time and, when the population size is large, they need days to complete or even fail due to memory restrictions. It is particularly the case for artificial life where each evaluation can take more than one minute to develop an artificial creature, plant or organism. Indeed, creatures are developed in physical and chemical simulators that require important computation resources. In order to create more and more realistic creatures, we propose a grid parallelized version of genetic algorithms. Two possibilities exist to increase them: supercomputers or computational grids. Because of their scalability, we choose computational grid in their works.