An improved multi-objective evolutionary memetic algorithm based on multi-population and its application

Zhongliang Xiao

doi:10.1117/12.954122

8 June 2012 An improved multi-objective evolutionary memetic algorithm based on multi-population and its application

Zhongliang Xiao

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83341Z (2012) https://doi.org/10.1117/12.954122
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

In this paper, we set up a mathematical model to solve the problem of airport ground services. In this model, we set objective function of cost and time, and the purpose is making it minimized. Base on the analysis of scheduling characteristic, we use the multi-population co-evolutionary Memetic algorithm (MAMC) which is with the elitist strategy to realize the model. From the result we can see that our algorithm is better than the genetic algorithm in this problem and we can see that our algorithm is convergence. So we can summarize that it can be a better optimization to airport ground services problem.

Citation Download Citation

Zhongliang Xiao "An improved multi-objective evolutionary memetic algorithm based on multi-population and its application", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341Z (8 June 2012); https://doi.org/10.1117/12.954122

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