Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm

Reddy, M. Janga ; Kumar, D. Nagesh (2006) Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm Water Resources Management, 20 (6). pp. 861-878. ISSN 0920-4741

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Official URL: http://doi.org/10.1007/s11269-005-9011-1

Related URL: http://dx.doi.org/10.1007/s11269-005-9011-1

Abstract

This paper presents a genetic algorithm (GA) model for obtaining an optimal operating policy and optimal crop water allocations from an irrigation reservoir. The objective is to maximize the sum of the relative yields from all crops in the irrigated area. The model takes into account reservoir inflow, rainfall on the irrigated area, intraseasonal competition for water among multiple crops, the soil moisture dynamics in each cropped area, the heterogeneous nature of soils, and crop response to the level of irrigation applied. The model is applied to the Malaprabha single-purpose irrigation reservoir in Karnataka State, India. The optimal operating policy obtained using the GA is similar to that obtained by linear programming. This model can be used for optimal utilization of the available water resources of any reservoir system to obtain maximum benefits.

Item Type:Article
Source:Copyright of this article belongs to American Society of Civil Engineers.
ID Code:125935
Deposited On:17 Oct 2022 06:25
Last Modified:14 Nov 2022 11:54

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