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根据自然界中的捕食关系,提出一种捕食策略来代替元胞遗传算法中的演化规则,并构建了基于捕食策略的元胞遗传算法以处理动态环境下的优化问题.在元胞空间中,捕食者对其捕食范围内的被捕者进行猎取并捕获其中最弱的一个.对捕食策略中种群规模的相互关系进行了研究,通过引入正交交叉算子进一步提高了算法的搜索能力.选择不同强度、复杂度的动态优化问题进行算法性能验证,所得结果表明新算法具有良好的处理动态优化问题的能力.
According to the predator-prey relationship in nature, a predator-prey strategy is proposed to replace the evolutionary rules of CGA, and a CGA based on predator strategy is constructed to deal with the optimization problem in dynamic environment.In the cellular space, Who hunt and capture the weakest one among the predators in their range of predation.Studying the interrelationship of the size of the population in the predation strategy and further improving the search ability of the algorithm by introducing orthogonal crossover operator, Strength and complexity of dynamic optimization algorithm algorithm performance verification, the results show that the new algorithm has a good ability to deal with dynamic optimization problems.