A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization

Author:

Nawaz Ripon Kazi Shah,Kwong Sam,Man K.F.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference67 articles.

1. Real-parameter genetic algorithms for finding multiple optimal solutions in multi-modal optimization;Ballester,2003

2. J. Branke, Memory enhanced evolutionary algorithms for changing optimization problems, in: Proceedings of the Congress on Evolutionary Computation, 1999, pp. 1875–1882.

3. A jumping gene algorithm for multiobjective resource management in wideband CDMA systems;Chan;The Computer Journal,2005

4. T.M. Chan, K.F. Man, K.S. Tang, S. Kwong, Multiobjective optimization of radio-to-fiber repeater placement using a jumping gene algorithm, in: Proceedings of the IEEE International Conference on Industrial Technology (ICIT 2005), Hong Kong, 2005, pp. 291–296.

5. Recent trends in evolutionary multiobjective optimization;Coello Coello,2005

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