关键词: 进化优化, 混合性能指标, 区间, 收敛进度, 交叉概率, 变异概率

Abstract: An adaptive evolutionary optimization algorithm of solving optimization problems with interval and hybrid indices is proposed in this paper. First, the convergence rate of a population is calculated based on the distance between the optimal individuals with adjacent generations; then the crossover and mutation rates are calculated according to the diversity, the convergence rate of a population and the number of generations; finally, the proposed algorithm is applied to an interior layout design problem, a typical optimization problem with interval uncertainty in the implicit index, and it is compared with other optimization algorithm. The experimental results confirm that the proposed algorithm has advantage in the number of optimal solutions, quality and distribution.

Key words: evolutionary optimization, hybrid indices, interval, convergence rate, crossover rate, mutation rate