Analysis and Design of Metaheuristics Based on Proximate Optimality Principle

包括启发式操作的优化方法被称为元优化。基于近似最优性原理，分析了优化问题的元优化结构，旨在改进传统的元优化方法，构建新的元优化方法.虽然改进的元启发式和新的元启发式的建设是在数值分析的基础上进行的，所开发的方法的性能进行了验证，使用著名的基准问题的模拟。

The optimization method including heuristic operations is called metaheuristics. For the purposes of improving conventional metaheuristics as well as constructing new metaheuristics, the structure of metaheuristics is analyzed in this study based on proximate optimality principle which implies that good solutions in optimization problems have similar structure. While the improvement of metaheuristic and the construction of new metaheuristic are done on the basis of the numerical analysis, the performance of the developed method is verified by simulations using well known benchmark problems.