中国电机工程学报2001，Vol.21Issue(3)：45-48,4.
遗传算法搜索优化及其在机组启停中的应用
ADVANCED GENETIC ALGORITHM APPROACH TO UNIT
COMMITMENT WITH SEARCHING OPTIMIZATION
摘要
Abstract
This paper discusses an advanced application of genetic algorithm to determine t he short-term unit commitment. Some heuristic techniques are developed to optim ize searching processes. First, a method to create initial generation, every uni t in the initial generation is a feasible solution of unit commitment. Second, fea sibility checking method builds a relation between infeasible solution space and feasible solution space, reduces lots of invalid processes in genetic searching . Third, redundancy-checking method reduces the redundancies of some solutions whose redundancies are too big. Fourth, a boundary searching method makes it eas ier to get a better solution from a feasible unit. As a result, the genetic algo rithm used in short-term unit commitment is greatly enhanced.关键词
机组启停/遗传算法/搜索优化分类
信息技术与安全科学引用本文复制引用
高山,单渊达..遗传算法搜索优化及其在机组启停中的应用[J].中国电机工程学报,2001,21(3):45-48,4.
