Reconsidering Fitness and Convergence in Co-evolutionary Design MARY LOU MAHER AND PETER

نویسنده

  • XIANGHUA WU
چکیده

Computational evolution provides a mechanism for searching a space of potential solutions according to a specified fitness function. In design, the search for potential solutions is often interleaved with changes in the requirements for the solution. We propose a model of design that uses a co-evolutionary computational process. Specifically, we present design as a parallel search for both design requirements and design solutions. Further, we develop a coevolutionary process in which the interaction between requirements and solution redefine the current fitness function. The concepts of fitness and convergence in computational evolution do not necessarily have the same meanings in a co-evolutionary process in which the fitness function changes. An additional consideration not present in computational evolution is the interaction between the parallel search spaces. We present a mechanism for interaction which results in a kind of co-evolution called mutualism.

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تاریخ انتشار 2000