Optimization Of Water Pumping System Using Differential Evolution Strategies

Differential Evolution (DE) is a population based search algorithm that comes under the category of evolutionary optimization techniques. It is an improved version of GA, and is exceptionally simple, significantly faster & robust at numerical optimization and is more likely to find a function’s true global optimum. In the present study, DE is used to solve the classical optimization problem of water pumping system. Comparison is made with Branch & Reduce algorithm. The results indicate that performance of DE is better than the Branch & Reduce algorithm.

[1]  Feng-Sheng Wang,et al.  Hybrid method of evolutionary algorithms for static and dynamic optimization problems with application to a fed-batch fermentation process , 1999 .

[2]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[3]  Rainer Storn,et al.  Differential Evolution-A simple evolution strategy for fast optimization , 1997 .

[4]  Feng-Sheng Wang,et al.  Simultaneous Optimization of Feeding Rate and Operation Parameters for Fed‐Batch Fermentation Processes , 1999, Biotechnology progress.

[5]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[6]  Zbigniew Michalewicz,et al.  Evolutionary Algorithms in Engineering Applications , 1997, Springer Berlin Heidelberg.

[7]  B. Babu,et al.  EVOLUTIONARY COMPUTATION FOR SCENARIO-INTEGRATED OPTIMIZATION OF DYNAMIC SYSTEMS , 1922 .

[8]  Rakesh Angira,et al.  OPTIMIZATION OF NON-LINEAR FUNCTIONS USING EVOLUTIONARY COMPUTATION , 2002 .

[9]  N. Sahinidis,et al.  Global optimization of nonconvex NLPs and MINLPs with applications in process design , 1995 .

[10]  Christodoulos A. Floudas,et al.  Nonlinear and Mixed-Integer Optimization , 1995 .

[11]  B. Babu,et al.  Estimation of heat transfer parameters in a trickle-bed reactor using differential evolution and orthogonal collocation , 1999 .

[12]  B. Babu,et al.  A DIFFERENTIAL EVOLUTION APPROACH FOR GLOBAL OPTIMIZATION OF MINLP PROBLEMS , 2002 .

[13]  Linus Schrage,et al.  Modeling and Optimization With Gino , 1986 .

[14]  B. Babu,et al.  EVOLUTIONARY COMPUTATION STRATEGY FOR OPTIMIZATION OF AN ALKYLATION REACTION , 2002 .

[15]  Rainer Storn,et al.  Differential Evolution Design of an IIR-Filter with Requirements for Magnitude and Group Delay , 1995 .