2010•Unpublished venueRequires access

Optimal reservoir operation using a hybrid Simulated Annealing Algorithm-Genetic Algorithm

Yongyong Zhang, Qia Huang, Fan Gao, Xiaoyi Sun

Abstract

A hybrid Simulated Annealing Algorithm-Genetic Algorithm is used to study the optimal reservoir operation. Then compared with other three methods, such as Genetic Algorithm, POA, and traditional Dynamic Programming, the proposed algorithm has much stronger ability of global search as well as better convergence property and can find the global optimization solution quickly. It is showed that hybrid Simulated Annealing Algorithm-Genetic Algorithm is an effective optimal algorithm and can be applied to the reservoir operation.

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Available abstract

Key concepts: Simulated annealing, Adaptive simulated annealing, Genetic algorithm, Algorithm, Hybrid algorithm (constraint satisfaction), Computer science, Population-based incremental learning, Meta-optimization