Abstract
The fuzzy co-evolution genetic algorithm is applied to clinical nutrition decision-making optimization. By cooperative co-evolutionary algorithm, the decision problem of clinical nutrition is divided into two populations ,which is combined into a complete diet recipe. In this paper, different fuzzy-based definitions of optimality and dominated solution are introduced. The corresponding extension of Co-Evolutionary Genetic Algorithm, so-called Fuzzy Co-Evolution Genetic Algorithm (FCEGA), will be presented as well. To verify the usefulness of such an approach, the approach is tested on analytical test cases in order to show its validity . The solutions, provided by the proposed algorithm for the clinical nutrition diet model,are promising when compared with an existing well-known algorithm.
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