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An experience in building a parallel and distributed problem-solving environment

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Resumo(s)

We describe our experimentation with the design and implementation of specific environments, consisting of heterogeneous computational, visualization, and control components. We illustrate the approach with the design of a problem-solving environment supporting the execution of genetic algorithms. We describe a prototype steering parallel execution, visualization, and steering. A life cycle for the development of applications based an genetic algorithms is proposed.

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problem-solving environments parallel genetic algorithms

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CSREA Press

Licença CC