Improved NSGAII with a New Distribution and its Application in Multi-Objective Reservoir Operation

Abstract:

Non-dominated sorting genetic algorithms II (NSGAII) has been widely used for multi- objective optimizations. To overcome its premature shortcoming, an improved NSGAII with a new distribution was proposed in this paper. Comparative to NSGAII, improved NSGAII uses an elitist control strategy to protect its lateral diversity among current non-dominated fronts. To implement elitist control strategy, a new distribution (called dogmatic distribution) was proposed. For ordinary multi-objective optimization problem (MOP), an ordinary exploration ability of improved NSGAII should be maintained by using a larger shape parameter r; while for larger-scale complex MOP, a larger exploration ability of improved NSGAII should be maintained by using a less shape parameter r. The application of improved NSGAII in multi-objective operation of Wohu reservoir shows that improved NSGAII has advantages over NSGAII to get better Pareto front especially for large-scale complex multi-objective reservoir operation problems.

• Periodical: Applied Mechanics and Materials (Volumes 90-93)
• Pages: 2734-2739
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.90-93.2734
• Online since: September 2011
• Authors: Ruan Yun, Cui Song Yu
• Keywords: Dogmatic Distribution, Multi-Objective, Nsgaii, Optimization, Reservoir

References

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DOI: 10.1007/3-540-44719-9_5