Study of Multi-Angle Optimal Load Distribution Based on Adaptive Immune Vaccine Algorithm

Abstract:

Based on genetic algorithm (GA) and immune algorithm, adaptive immune vaccine algorithm (AIVA) takes advantage of immune memory and immune vaccines operator of immune algorithm, while using adaptive crossover and mutation operators of improved genetic algorithm. The algorithm can effectively overcome the shortcomings, such as the premature convergence of the basic genetic algorithm, the poor ability of local search and reduction of diversity. At the same time, it ensured the algorithm convergence and effectively prevented the degradation of the population. It also improved the convergence stability and convergence speed, shortened the searching time and improved operating efficiency. AIVA was applied for multi-angle plant level load optimal distribution considering the economy, environmental protection and speediness.

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 1853-1856
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.1853
• Online since: February 2014
• Authors: Gui Li Yuan*, Yan Guang Xue, Tong Yu
• Keywords: Adaptive Immune Vaccine Algorithm, Immune Theory, Load Distribution

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