一种改进的共同进化遗传算法及其应用

将共同进化遗传算法应用于临床营养决策优化中,虽然取得了一定成果,但算法中仍存在早熟现象、局部搜索能量弱等问题,为此提出一种改进的共同进化模型。算法使用新的子群体划分方法和交叉算子,引入精英保留策略、信息交换原则和小生境技术。通过对糖尿病营养治疗的仿真表明,改进后的算法在保证群体多样性和避免早熟现象的前提下,提高了算法的局部和全局寻优能力,且膳食配方中营养素达标率符合要求,满足专家建议的糖尿病饮食需求。

An Improved Coevolutionary Genetic Algorithm and Its Application

Coevolutionary genetic algorithm has been applied into the clinic nutrition decision-making optimization,which has acquired some achievements,but the algorithm still exists the problems of the pre-maturity in coevolutionary genetic algorithm,weak ability in the local searching.Therefore,an improved coevolutionary model is designed to solve them.The algorithm introduces new method of subregion partition and crossover operator.In addition,it also introduces elitism preservation strategy,information exchange principle and niche technology.The simulation of a nutrition curing of diabetes shows,under the premise of ensuring the diversity of populations and avoiding pre-maturity phenomenon,the improved algorithm raises unitary and local optimization ability.The percentage of nutrition element in the meal formula is more up to the mustard and more satisfies expert propositional requirements of diabetes.