电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2015年
16期
43-46
,共4页
遗传算法%政府采购系统%专家抽取%随机
遺傳算法%政府採購繫統%專傢抽取%隨機
유전산법%정부채구계통%전가추취%수궤
genetic algorithm%the government procurement system%expert selection%random
针对政府采购工作手工抽取评审专家而出现的公平性差、保密性差等问题，采用遗传算法完成随机抽取评审专家的过程，引入染色体、基因、适应值及群体等概念，结合选择、交叉、变异等计算手段，通过具体实例分析验证了遗传算法在专家抽取中应用的科学性、先进性。
針對政府採購工作手工抽取評審專傢而齣現的公平性差、保密性差等問題，採用遺傳算法完成隨機抽取評審專傢的過程，引入染色體、基因、適應值及群體等概唸，結閤選擇、交扠、變異等計算手段，通過具體實例分析驗證瞭遺傳算法在專傢抽取中應用的科學性、先進性。
침대정부채구공작수공추취평심전가이출현적공평성차、보밀성차등문제，채용유전산법완성수궤추취평심전가적과정，인입염색체、기인、괄응치급군체등개념，결합선택、교차、변이등계산수단，통과구체실례분석험증료유전산법재전가추취중응용적과학성、선진성。
Aiming at the problem that fairness and confidentiality are all poor when extracting evaluation experts by manual. Completed the process that extracting evaluation experts randomly using genetic algorithm. Introducted the concept which chromosome, gene, fitness and population . Combined with the method that selection, crossover, mutation calculation. Through the analysis of the specific example verified the scientific, advanced that application of the genetic algorithm in the extraction of experts.
