CAJ | 학술논문

在遗传算法中引入热力学的自由能、熵和内能的概念,并将传统小生境技术与Pareto分级结构结合起来,设计了一种基于小生境的分层选择策略.结合罚函数和非支配排序的思想,设计了一种用于约束优化问题的遗传算法.该算法应用到大规模突发事件的应急物资调度分配优化问题中,所求得的分配优化方案合理有效.
재유전산법중인입열역학적자유능、적화내능적개념,병장전통소생경기술여Pareto분급결구결합기래,설계료일충기우소생경적분층선택책략.결합벌함수화비지배배서적사상,설계료일충용우약속우화문제적유전산법.해산법응용도대규모돌발사건적응급물자조도분배우화문제중,소구득적분배우화방안합리유효.
@@@@Introducing the concept of thermodynamic free energy and entropy to the genetic algorithm ,And traditional niche technology and Pareto hierarchical structure ,design stratified selection strategy based on niche ,The combined penalty function and non‐dominated sorting ideas ,design a genetic algorithm for constrained optimization problems . The algorithm is applied to large‐scale emergencies ,emergency supplies scheduling allocation optimization problems , the obtained distribution optimization is reasonable and effective .