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Finding a Near-Maximum Independent Set of a Circle Graph by Using Genetic Algorithm with Conditional Genetic Operators

机译:使用带条件遗传算子的遗传算法寻找圆形图的近最大独立集

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摘要

The maximum independent set problem is of central importance combinatorial optimization problem. It has many practical applications in science and engineering. In this paper, we propose a genetic algorithm based approach to solve the problem. In the proposed approach, the genetic operators are performed basing on condition instead of probability. The proposed algorithm is tested on a large number of instances and the simulation results show that the proposed method is superior to its competitors.
机译:最大独立集问题是组合优化最重要的问题。它在科学和工程中有许多实际应用。在本文中,我们提出了一种基于遗传算法的解决方案。在提出的方法中,遗传算子是基于条件而不是概率来执行的。在大量实例上对该算法进行了测试,仿真结果表明该算法优于同类算法。

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