遗传算法在机组启停中的应用及改进

提出了一种遗传算法应用于机组启停的新思路。针对一启停问题的特点，设计了一些启发式技术，使得遗传算法初始种群中的所有个体都是可行解。

Advanced Genetic Algorithm Approach to Unit Commitment

This paper discusses an advanced application of genetic algorithm to determine the short term unit commitment. Some heuristic techniques are developed. First, the method to create initial generation, every unit in the initial generation is a feasible solution of unit commitment. Second, feasibility 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 can easily get a better solution from a feasible unit. As a result the genetic algorithm used in short term unit commitment is greatly enhanced.