Ant Colony Optimization Algorithms for Optimal Operation of Reservoirs: A Comparative Study of Four Algorithms

مهندسی عمران فردوسی

Article 8, Volume 25, Issue 2, November 2014, Pages 117-134   

Document Type: پژوهشی

DOI: 10.22067/civil.v25i2.40651

Authors

M.H. Afshar; S.E. Rezaee; R. Moeini^*

Abstract

Optimal operation of reservoir is one of the most important problems of water resource engineering addressed by many researchers. Mathematical and traditional optimization methods have been extensively used to solve reservoir operation problem. Nowadays, meta-heuristics methods such as Ant Colony Optimization (ACO) algorithms, however, are being used more and more to solve this problem. ACO algorithms refer to a family of search methods based on the foraging behavior of real ant colonies. In this paper, the application of four ACO algorithms namely, Ant System, Elitist Ant System, Ranked Ant System and Max-Min Ant System is used to solve the simple and hydropower reservoir operation problems. The efficiency of these methods is tested against the benchmark example of "Dez" reservoir and the results are presented and compared. The results indicate the superiority of Max-Min Ant System over other algorithms to solve reservoir operation problem.

Keywords

Meta-Heuristic Algorithm; Ant Colony Optimization Algorithm; Optimal Operation of Reservoir

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