(PDF) Optimization techniques in water resources

Abstract: In the current water resources scientific literature, a wide variety of engineering design problems are solved in a simulation-optimization framework. These problems can have single or multiple objective functions and their decision variables can have discrete or continuous values. The majority of current literature in the field of water resources systems optimization report using heuristic global optimization algorithms, including evolutionary algorithms, with great success.

The objective of water resources allocation is to find a symmetry for different water allocation methods among diverse water use sectors, like domestic, agricultural and industrial water so that it helps in the sustainable development of the society. Optimal allocation of water resources plays a significant role in planning of water resources. Genetic algorithm and differential evolution algorithm are the two optimization algorithms used extensively in optimal allocation of water resources. Genetic algorithms are frequently used in water resource allocation optimization problems due to its easy implementation and suitable performance. Differential evolution algorithms are an alternative of genetic algorithm because search performance is very good in differential algorithm and is robust compared to genetic algorithm. Particle swarm optimization algorithm is a populationbased stochastic optimization technique based on bird flocking and fish schooling. This paper aims at comparing the ...

Water Resources Research Institute Eng.Ahmed Adel Saleh Contents • • • • • Introduction Review some optimization techniques Review some publications Simple application using Excel Conclusions Water Resources Research Institute Eng.Ahmed Adel Saleh INTRODUCTION Water Resources Research Institute Eng.Ahmed Adel Saleh Why Optimization? Allah says in the Quran, "He gives wisdom to whom He wills, and whoever is given wisdom is certainly given a lot of good. Only the people of understanding observe the advice.” (Al‐Baqara:269). Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Optimization Objective functions • • • • Cost minimization Benefit Maximization Technical objectives Increase power. Minimize loss, maximize release etc… Constraints • • • • Physical Economical Sociological Technical Conventional Optimization Model • Linear programming • Non‐linear programming • Dynamic programming Soft Computing Techniques • Genetic Algorithms • Neural Networks • Fuzzy logic Water Resources Research Institute Eng.Ahmed Adel Saleh REVIEW SOME OPTIMIZATION TECHNIQUES Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh REVIEW SOME PUBLICATIONS Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh SIMPLE APPLICATION USING EXCEL Water Resources Research Institute Eng.Ahmed Adel Saleh Water Resources Research Institute Eng.Ahmed Adel Saleh CONCLUSIONS Water Resources Research Institute Eng.Ahmed Adel Saleh

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Optimization techniques in water resources

Optimization techniques in water resources

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