Multi-objective optimization method based on double-layer elite coevolution

Abstract

The invention discloses a multi-objective optimization method based on double-layer elite coevolution, and solves the problems of non-uniform distribution of elite individuals at the initial stage andlow convergence rate in the solving process of a multi-objective problem. According to the method, a two-layer elite population division strategy is adopted to solve the problem of non-uniform distribution of excellent individuals in the initial stage; by adopting the coevolution method, the cooperation capability among individuals can be fully exerted, and the diversity and convergence of the individuals in the evolution process are guaranteed; a probability model is established by adopting a distribution estimator, the evolution trend of the whole group is directly described, and the globalsearch capability of the method can be guaranteed.

Description

technical field [0001] The invention is a multi-objective optimization method based on double-layer elite strategy and cooperative evolution, belongs to the field of optimization problem solving, and can be applied in engineering practice and scientific research. Background technique [0002] In reality, many problems can be finally abstracted into multi-objective optimization problems. This is because real problems are often more complex. Generally, many aspects will be weighed and constraints will be imposed when achieving the goal. The optimization method mainly uses mathematical methods to study the optimization methods and schemes of various systems, and provides the basis for scientific decision-making for decision makers. Evolutionary algorithms have a good effect in solving multi-objective optimization problems, but when solving some complex multi-objective optimization problems such as many objectives, many decision variables, and irregular frontier shapes, the numb...

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of uneven distribution of initial elite individuals and slow convergence speed in the process of solving multi-objective problems

The present invention adopts a two-layer elite population division strategy to solve the problem of uneven distribution of excellent individuals in the initial stage of solving; the cooperative evolution method can fully exert the cooperation ability among individuals and ensure the diversity and convergence of individuals in the evolution process; adopt The distribution estimator establishes a probability model to directly describe the evolutionary trend of the entire population, which can guarantee the global search ability of this method

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