Comparison between genetic algorithm and linear programming approach for real time operation

Azamathulla, Hazi Mohammad; Wu, Fei; Ghani, Aminuddin Ab.; Narulkar, Sandeep M; Zakaria, Nor Azazi; Chang, Chun Kiat

doi:10.1016/j.jher.2008.10.001

Cited by 110 publications

(37 citation statements)

References 32 publications

(34 reference statements)

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“…Scientific literature proposes different methods, more related to statistical approaches, for optimizing irrigation scheduling and planning (Kuo and Liu, 2003;Negesh Kumar et al, 2006;Azamathulla et al, 2008;Porporato, 2011, 2013), while the application suggested in this paper takes into account actual measures of soil moisture and observed weather data in addition to updated forecasts to provide landowners with a suitable product for real-world farm profit optimization, as well as cost savings for irrigation practices: e.g. water volume, pumping system from ditches, fuel for tractors and labour costs.…”

Section: Introductionmentioning

confidence: 99%

Real-time drought forecasting system for irrigation management

Ceppi

Ravazzani

Corbari

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. In recent years frequent periods of water scarcity have enhanced the need to use water more carefully, even in European areas which traditionally have an abundant supply of water, such as the Po Valley in northern Italy. In dry periods, water shortage problems can be enhanced by conflicting uses of water, such as irrigation, industry and power production (hydroelectric and thermoelectric). Furthermore, in the last decade the social perspective in relation to this issue has been increasing due to the possible impact of climate change and global warming scenarios which emerge from the IPCC Fifth Assessment Report (IPCC, 2013). Hence, the increased frequency of drought periods has stimulated the improvement of irrigation and water management.In this study we show the development and implementation of the PREGI real-time drought forecasting system; PREGI is an Italian acronym that means "hydrometeorological forecast for irrigation management". The system, planned as a tool for irrigation optimization, is based on meteorological ensemble forecasts (20 members) at medium range (30 days) coupled with hydrological simulations of water balance to forecast the soil water content on a maize field in the Muzza Bassa Lodigiana (MBL) consortium in northern Italy. The hydrological model was validated against measurements of latent heat flux acquired by an eddy-covariance station, and soil moisture measured by TDR (time domain reflectivity) probes; the reliability of this forecasting system and its benefits were assessed in the 2012 growing season. The results obtained show how the proposed drought forecasting system is able to have a high reliability of forecast at least for 7-10 days ahead of time.

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Section: Introductionmentioning

confidence: 99%

Real-time drought forecasting system for irrigation management

Ceppi

Ravazzani

Corbari

et al. 2014

Hydrol. Earth Syst. Sci.

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“…Because of easy formulation and application, the use of LP-based optimization models is very common in the management of water-resource problems (Bender et al 1984;Suryavanshi and Reddy 1986;Kumar and Pathak 1989;Ahlfeld and Heidari 1994;Vedula and Kumar 1996;Khare et al 2007;Azamathulla et al 2008;Lu et al 2011;Singh 2014e). However, NLP models have not been widely used because of rigorous mathematics involved in its development and the high computation time and memory required.…”

Section: Optimization Modelingmentioning

confidence: 99%

“…The aforementioned water-resources problems of irrigated agriculture have been solved by using a large number of simulation, optimization, and simulationoptimization models during the last few decades (Cheng et al 2000;Haouari and Azaiez 2001;Mantoglou et al 2004;Katsifarakis and Petala 2006;Konukcu et al 2006;Azamathulla et al 2008;Li et al 2011;Gaur et al 2011;Xie and Cui 2011). As far as the author is aware, there has not been a review of the individual and combined applications of simulation and optimization modeling for the management of groundwater resources associated with irrigated areas.…”

Section: Introductionmentioning

confidence: 99%

Review: Computer-based models for managing the water-resource problems of irrigated agriculture

Singh

2015

Hydrogeol J

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Irrigation is essential for achieving food security to the burgeoning global population but unplanned and injudicious expansion of irrigated areas causes waterlogging and salinization problems. Under this backdrop, groundwater resources management is a critical issue for fulfilling the increasing water demand for agricultural, industrial, and domestic uses. Various simulation and optimization approaches were used to solve the groundwater management problems. This paper presents a review of the individual and combined applications of simulation and optimization modeling for the management of groundwater-resource problems associated with irrigated agriculture. The study revealed that the combined use of simulation-optimization modeling is very suitable for achieving an optimal solution for groundwater-resource problems, even with a large number of variables. Independent model tools were used to solve the problems of uncertainty analysis and parameter estimation in groundwater modelling studies. Artificial neural networks were used to minimize the problem of computational complexity. The incorporation of socioeconomic aspects into the groundwater management modeling would be an important development in future studies.

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“…For comparison purposes, the same model was solved by a technique based on calculus and the Shuffled Complex Evolution (SCE) algorithm. Azamathulla et al (2008) developed and carried out a comparison of two modelsa Genetic Algorithm (GA) and Linear Programming (LP), to be applied to real-time reservoir operation in an existing Chiller reservoir system in Madhya Pradesh, India. Their performance is analysed, and from the results, the GA model is found to be superior to the LP model.…”

Section: Evolutionary Computationsmentioning

confidence: 99%

Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River

Hassaballah¹,

Jonoski

Popescu

et al. 2011

Water Resour Manage

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The aim of this paper is to develop a methodology based on coupled simulation-optimization approach for determining filling rules for the proposed Mandaya Reservoir in Ethiopia with minimum impact on hydropower generation downstream at Roseires Reservoir in Sudan, and ensuring power generation at Mandaya Reservoir in Ethiopia. The Multi-Objective Optimization (MOO) approach for reservoir optimization presented in this paper is a combination of simulation and optimization models, which can assist decision making in water resource planning and management (WRPM). The combined system of reservoirs is set in MIKE BASIN Simulation model, which is then used for simulation of a limited set of feasible filling rules of the Mandaya reservoir according to the current storage level, the inflow, and the time of the year. The same simulation model is then coupled with Multi-Objective optimization Non-dominated Sorting Genetic Algorithm (NSGA-II), which is adopted for determining optimial filling rules of the Mandaya Reservoir. The optimization puts focus on maximization of hydropower generation in both the Mandaya and the Roseires Reservoirs. The results demonstrate that optimal release-(and correspondingly filling-) rules for Mandaya Reservoir which maximize the hydropower generation in both Mandaya and Roseires reservoirs can be found. These rules are determined along the Pareto frontier obtained by the optimization algorithm, which can serve as a decision support tool for choosing the actual filling rule. The results also showed that the NSGA-II is an efficient and powerful tool that could assist decision makers for solving optimization problems in complex water resource systems.

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Comparison between genetic algorithm and linear programming approach for real time operation

Cited by 110 publications

References 32 publications

Real-time drought forecasting system for irrigation management

Real-time drought forecasting system for irrigation management

Review: Computer-based models for managing the water-resource problems of irrigated agriculture

Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River

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