高维多目标集成算法研究综述

Survey on high dimensional many-objective integration algorithm

高维多目标优化算法是求解高维多目标优化问题的有效途径,然而没有一种特定的算法适合于所有优化问题。对于不同类型的高维多目标优化问题,需要设计适合于该问题的算法。因此,首先分别从理论和仿生学角度,分析了研究高维多目标集成算法的必要性,旨在获得性能高效的高维多目标优化算法,使得算法能够应用于解决不同领域的优化问题。接着阐述合作—竞争策略,协同进化策略和集成池策略的相关原理,旨在通过结合现有不同操作算子的优势特性,使其相互协调、共同作用,从而达到“强强联合”,获得较好的性能效果。并对现有一些集成算法的理论研究和应用研究内容分别进行了综述。最后,对操作算子个数大于等于3的高维多目标集成算法的研究趋势进行了探讨。

High dimensional multi-objective optimization algorithm is an effective way to solve high-dimensional multi-objective optimization problems.No specific algorithm,however,is suitable for all optimization problems.For different types of high-dimensional multi-objective optimization problems,it is necessary to design algorithms suitable for the problem.Therefore,first of all,from the perspective of theory and bionics,the necessity of studying the high-dimensional multi-objective integration algorithm is analyzed to obtain the high-dimensional multi-objective optimization algorithm with high performance,so that the algorithm can be applied to solve optimization problems in different fields.Then the relevant principles of cooperation competition strategy,coevolution strategy and integration pool strategy are elaborated,aiming to make them coordinate and work together by combining the advantages of different existing operators,so as to achieve the effect of“powerful alliance”.The theoretical research and application research contents of some existing integration algorithms are summarized respectively.Finally,the research trend of high-dimensional multi-objective integration algorithm with three or more operators is discussed.