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Combined Heat and Power Economic Dispatch by Using Differential Evolution

机译:利用差分进化的热电联产经济调度

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摘要

This article presents differential evolution to solve the combined heat and power economic dispatch problem. Differential evolution, an improved version of the genetic algorithm and evolutionary programming, is a very simple, fast, and robust global optimization technique. The proposed algorithm is illustrated for a test system, and the test results are compared with those obtained from particle swarm optimization and evolutionary programming.
机译:本文提出了差分进化来解决热电联产经济调度问题。差分进化是遗传算法和进化编程的改进版本,是一种非常简单,快速且可靠的全局优化技术。说明了该算法在测试系统中的应用,并将测试结果与从粒子群优化和进化规划获得的结果进行了比较。

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