Genetic Algorithm for the Multi-Objective Optimization of Product Gene

Qing Song Ai; Zhou Liu; Yan Wang

doi:10.4028/www.scientific.net/AEF.6-7.116

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7Genetic Algorithm for the Multi-Objective...

Genetic Algorithm for the Multi-Objective Optimization of Product Gene

Abstract:

In order to adapt to the rapid development of the manufacturing industry, product genetic engineering arises at the historic moment. Finding the optimal solution under more than one decision variables of the solution set is becoming the most important problems that we should solve. In this paper, we proposed a modified genetic algorithm to solve gene product genetic engineering of multi-objective optimization problems. The new concepts such as matrix encoding, column crossover and adaptive mutation are proposed as well. Experimental results show that the modified genetic algorithm can find the optimal solutions and match the customer’s expectations in modern manufacture.

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Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

116-121

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.116

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Online since:

September 2012

Authors:

Qing Song Ai, Zhou Liu, Yan Wang

Keywords:

Modified Genetic Algorithm, Multi-Objective Optimization (MOP), Product Gene

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