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Bee colony optimization for combined heat and power economic dispatch

机译:蜂群优化,热电联产

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This paper presents a novel optimization approach to the combined heat and power economic dispatch problem by using bee colony optimization algorithm. The algorithm is a swarm-based algorithm inspired by the food foraging behavior of honey bees. The performance of the proposed algorithm is validated by illustration with a test system. The results of the proposed approach are compared with those of particle swarm optimization, real-coded genetic algorithm and evolutionary programing techniques. From numerical results, it is seen that bee colony optimization based approach is able to provide a better solution at a lesser computational effort.
机译:本文提出了一种利用蜂群算法的热电联产优化调度新方法。该算法是一种基于蜂群的算法,受到蜜蜂食物觅食行为的启发。通过使用测试系统进行图示验证了所提出算法的性能。将该方法的结果与粒子群优化,实编码遗传算法和进化编程技术进行了比较。从数值结果可以看出,基于蜂群优化的方法能够以较少的计算量提供更好的解决方案。

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