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Effectiveness Evaluation of Memetics and Biogeography Algorithms Using Benchmark and Trans Computational Tasks of Combinatorial Optimization

机译:使用基准和反式计算任务的难题和生物地理算法的有效性评估组合优化的跨算术任务

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The article discusses the elements of the theory of population metaheuristics. Original biogeographical and memetic algorithms for solving trans computational optimization problem are presented for the traveling salesman problem. Authors presented the method of biogeography and its modifications, as well as results of the comparative analysis of genetic, biogeographic and memetic algorithms. The authors conducted experimental verification of the effectiveness of the algorithms on known test functions. Experiments were carried out on certain benchmarks from the library TSPLIB. Efficiency, operating time and the diversity of the population were the criteria for comparison algorithms mentioned above.
机译:本文讨论了人口遗传学理论的要素。为求解反式计算优化问题的原始生物地图和遗料算法是为了旅行推销员问题。作者介绍了生物地理及其修改的方法,以及遗传,生物地理和膜算法的比较分析的结果。作者对已知测试功能的算法的有效性进行了实验验证。实验是在图书馆TSPLIB的某些基准上进行的。效率,操作时间和人口的多样性是上述比较算法的标准。

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