Optimal Reservoir Operation Using Differential Evolution by A . Vasan & K . Srinivasa Raju 1 OPTIMAL RESERVOIR OPERATION USING DIFFERENTIAL EVOLUTION
نویسندگان
چکیده
In the present study an evolutionary based optimization algorithm Differential Evolution (DE) is applied to a case study of Bisalpur project, Rajasthan, India. The objective of DE based planning model is to determine suitable cropping pattern which yields maximum net benefits. Ten different strategies (variations) of DE are analyzed with various population sizes, crossover constants and weighting factors. Results of DE are compared with solution of Linear Programming (LP). Minimum and maximum CPU time that was elapsed is also analyzed. It is concluded that DE/rand-to-best/1/bin is the best strategy for the planning problem with maximum net benefits of 95.1903 crores of rupees taking minimum CPU time of 2.844 seconds. The present study can be extended to similar situations with suitable modifications.
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