Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Asian Journal of Scientific Research
  Year: 2011 | Volume: 4 | Issue: 1 | Page No.: 16-27
DOI: 10.3923/ajsr.2011.16.27
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Reservoir Operation using Multi-objective Evolutionary Algorithms-A Review

J.A. Adeyemo

Abstract:
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.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    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

URL: https://scialert.net/abstract/?doi=ajsr.2011.16.27

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom