首页|基于遗传算法求解以最大利润为目标的间歇生产过程调度问题

基于遗传算法求解以最大利润为目标的间歇生产过程调度问题

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A Genetic Algorithm-based Approach to Scheduling of Batch Production with Maximum Profit
The optimal scheduling of multi-product batch process is studied and a new mathematics model targeting the maximum profit is proposed, which can be solved by the modified genetic algorithm (MGA) with mixed coding (sequence coding and decimal coding) developed by us. In which, the partially matched cross over (PMX)and reverse mutation are used for the sequence coding, whereas the arithmetic crossover and heteropic mutation are used for the decimal coding. In addition, the relationship between production scale and production cost is analyzed and the maximum profit is always a trade-off of the production scale and production cost. Two examples are solved to demonstrate the effectiveness of the method.

production scheduling, batch process, combinatorial optimization, genetic algorithm

伍联营、胡仰栋、徐冬梅、华贲

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College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266003, China

School of Chemical Engineering, South China University of Technology, Guangzhou 510640, China

production scheduling, batch process, combinatorial optimization, genetic algorithm

国家自然科学基金National Fundamental Research Development Program of China

203760782000026308

2005

中国化学工程学报(英文版)
中国化工学会

中国化学工程学报(英文版)

CSCDSCIEI
影响因子：0.818
ISSN：1004-9541
年,卷(期)：2005.13(1)
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