Multi-objective particle swarm optimization for generating optimal trade-offs in reservoir operation

Reddy, Janga M and Kumar, Nagesh D (2007) Multi-objective particle swarm optimization for generating optimal trade-offs in reservoir operation. In: Hydrological Processes, 21 (21). 2897- 2909.

PDF Multi-objective_particle_swarm.pdf Restricted to Registered users only Download (406kB) | Request a copy

Abstract

A multi-objective particle swarm optimization (MOPSO) approach is presented for generating Pareto-optimal solutions for reservoir operation problems. This method is developed by integrating Pareto dominance principles into particle swarm optimization (PSO) algorithm. In addition, a variable size external repository and an efficient elitist-mutation (EM) operator are introduced. The proposed EM-MOPSO approach is first tested for few test problems taken from the literature and evaluated with standard performance measures. It is found that the EM-MOPSO yields efficient solutions in terms of giving a wide spread of solutions with good convergence to true Pareto optimal solutions. On achieving good results for test cases, the approach was applied to a case study of multi-objective reservoir operation problem, namely the Bhadra reservoir system in India. The solutions of EM-MOPSOs yield a trade-off curve/surface, identifying a set of alternatives that define optimal solutions to the problem. Finally, to facilitate easy implementation for the reservoir operator, a simple but effective decision-making approach was presented. The results obtained show that the proposed approach is a viable alternative to solve multi-objective water resources and hydrology problems.

Item Type:	Journal Article
Publication:	Hydrological Processes
Publisher:	John Wiley & Sons
Additional Information:	Copyright of this article belongs to John Wiley & Sons.
Keywords:	Multi-objective optimization;Particle swarm optimization;Elitist-mutation;Reservoir operation;Hydropower; Irrigation;Water quality;Pareto optimal solutions;
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	18 Dec 2007
Last Modified:	19 Sep 2010 04:41
URI:	http://eprints.iisc.ac.in/id/eprint/12551

Actions (login required)

View Item