Multiobjective Differential Evolution and Differential Evolution for Irrigation Planning

Abstract

The present paper discusses the applicability of Multiobjective Differential Evolution (MODE) and single objective Differential Evolution (DE) to a case study of Mahi Bajaj Sagar Project, Rajasthan, India. Three objectives, namely, net benefits, agricultural production and labour employment are analyzed in the multiobjective framework using MODE. Four variations (strategies) of Differential Evolution, namely, DE/rand/1/bin, DE/rand/1/exp, DE/best/1/bin and DE/best/1/exp are explored. Population size, crossover and mutation probabilities and number of generations are the parameters that are required as input to MODE. In order to have a better insight on the performance of the strategies, DE in single objective framework is also employed with the same four strategies for all the three objectives with the above settings. In addition, a comparative analysis is also made for all the four strategies in both single and multiobjective framework.