IEEE - Institute of Electrical and Electronics Engineers, Inc. - An Improved Weight-Based Multiobjective Genetic Algorithm and Its Application to Parallel Machine Scheduling

2009 Second International Conference on Intelligent Computation Technology and Automation (ICICTA)

Author(s): Zhimin Fang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2009
Conference Location: Changsha, Hunan, China, China
Conference Date: 10 October 2009
Volume: 1
Page(s): 161 - 164
ISBN (Paper): 978-0-7695-3804-4
DOI: 10.1109/ICICTA.2009.47
Regular:

In this study, a weight-based multiobjective genetic algorithm(WBMOGA) is improved. Different from WBMOGA, the modified algorithm presents a novel selection approach based on the truncation... View More

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