An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization

Author:

Chen Zhi-Qiang123,Wang Rong-Long4,Sanchez René-Vinicio5,de Oliveira José V.16,Li Chuan1

Affiliation:

1. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, China

2. Chongqing Engineering Laboratory for Detection Control and Integrated System, Chongqing Technology and Business University, Chongqing, China

3. School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing. China

4. Graduate School of Engineering, University of Fukui, Fukuishi, Japan

5. Universidad Politécnica Salesiana, Cuenca, Ecuador

6. On Sabbatical leave from CEOT, Universidade do Algarve, Faro, Portugal

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference32 articles.

1. A. Auger and N. Hansen, A restart CMA evolution strategy with increasing population size, In Proceedings of the 2005 IEEE Congress on Evolutionary Computation, 2005, pp. 1769–1776.

2. Evolution strategies;Beyer;Natural Computing,2002

3. Computational investigation of simple memetic approaches for continuous global optimization;Cabassi;Computers & Operations Research,2016

4. A new framework with fdpp-lx crossover for real-coded genetic algorithm;Chen;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,2011

5. Solving m-way graph partitioning problem using genetic algorithm;Chen;IEEJ Transactions on Electrical and Electronic Engineering,2011

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