An Ecological Equilibrium Dynamics Optimization Approach

Abstract

In order to solve the problem of complex function optimization, the ecological balance dynamics-based optimization (EBDO) algorithm is proposed based on the Lotka–Volterra ecological balance dynamics. The algorithm assumes that there are three populations of nurturers, consumers, and decomposers in an ecosystem. The self-plowing is mainly the plant; the consumer is mainly the animal who feeds on the nourish; the decomposer mainly breaks down the dead body of the consumer, and the nutrient is supplied to the self-raised person. According to the relationship among the populations in the above ecosystem, the consumer-autotrophic operator, the self-coter decomposer operator, the decomposer-consumer operator and the growth operator are constructed. The growth change of the population of the self-employed, the consumer and the decomposer is equivalent to the search space trying to move from one location to another. The algorithm has the characteristics of strong search ability and global convergence, it provides a solution for solving complex optimization problems.