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Asian Journal of Scientific Research
  Year: 2011 | Volume: 4 | Issue: 1 | Page No.: 16-27
DOI: 10.3923/ajsr.2011.16.27
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Reservoir Operation using Multi-objective Evolutionary Algorithms-A Review

J.A. Adeyemo

The review of some applications of evolutionary algorithms to reservoir operations is presented in this study. Reservoir operation is a complex multi-objective optimization problem with many conflicting objectives and constraints. Evolutionary algorithms are stochastic search algorithms which have a lot of applications in water resources management. They have the ability to generate non-dominated solutions which converge to Pareto optimal front to multi-objective problems in one simulation run. The results presented in the literatures reviewed show that evolutionary algorithms are good algorithms for solving complex, non-linear, convex and multidimensional reservoir problems. They produce tradeoffs to reservoir operation problems from which a reservoir operator can choose a solution applicable to him.
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  •    Alternative Approach of Firefly Algorithm for Flood Control Rule Curves
  •    A New Reinforcement Learning Optimization Method for Capacitor Allocation Considering Variable Load
  •    Multi-Objective Differential Evolution Algorithm for Solving Engineering Problems
  •    Optimization of Reservoir Operation by Genetic Algorithm Considering Inflow Probabilities (Case Study: The Jiroft Dam Reservoir)
  •    Strategies of Differential Evolution for Optimum Cropping Pattern
How to cite this article:

J.A. Adeyemo , 2011. Reservoir Operation using Multi-objective Evolutionary Algorithms-A Review. Asian Journal of Scientific Research, 4: 16-27.

DOI: 10.3923/ajsr.2011.16.27






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