@incollection{DEB2004,
abstract = {Abstract The use of evolutionary computation (EC) in the solution of optimization problems of hydroinformatics is not new. Many such problems having single or multiple objectives are now routinely solved using different EC methodologies. Through this invited paper for the proceedings of the Hydroinformatics 2004 conference, I am delighted to share some recent advances in the area of evolutionary computing with the researchers and practitioners to this field. Some critical issues, such as design of an efficient evolutionary algorithm (EA), an efficient constraint handling procedure, scalability issue of EAs, and multi-objective optimization are dealt in this paper. The discussion of the topics and subsequent engineering and numerical case studies presented in this paper should be useful to EA and non-EA hydroinformaticians alike.},
author = {DEB, KALYANMOY},
booktitle = {Hydroinformatics},
doi = {10.1142/9789812702838_0003},
keywords = {Chaos,Data Mining,Evolutionary Algorithms,Fuzzy Logic,Geographic Information System,Hydroinformatics,Internet-Based Technologies,Risk Analysis,Soft Computing,Support Vector Machine},
mendeley-groups = {COIN{\_}website/2004},
month = {jun},
pages = {14--35},
publisher = {WORLD SCIENTIFIC},
title = {{SINGLE AND MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONARY COMPUTATION}},
year = {2004}
}