CONSTRAINT PROGRAMMING AND GENETIC ALGORITHM
Prakash R. Kotecha, Mani Bhushan, Ravindra D. Gudi · Advances in process systems engineering · 2010
Advances in Process Systems EngineeringStochastic Global Optimization, pp. 619-675 (2010) No AccessCONSTRAINT PROGRAMMING AND GENETIC ALGORITHMPrakash R. Kotecha, Mani Bhushan, and Ravindra D. GudiPrakash R. KotechaDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai-400 076, India, Mani BhushanDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai-400 076, India, and Ravindra D. GudiDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai-400 076, Indiahttps://doi.org/10.1142/9789814299213_0018Cited by:2 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: The following sections are included: Introduction Constraint Programming Working principle Example Features of CP Determination of multiple optimal solutions Determination of pareto fronts along with multiple realizations Comparison of CP and GA Case Studies Single objective optimization: Job shop scheduling Problem definition CP formulation GA implementation Data Results Multi-objective optimization Problem definition CP formulation GA implementation Data Results Conclusions References Appendix I Scheduling Data for Case Study Appendix II The Data for Case Study FiguresReferencesRelatedDetailsCited By 2Performance Evaluation of Recently Proposed Metaheuristics Algorithms on Solving Job Shop Scheduling ProblemRemya Kommadath, Bibekananda Ramchandani, Makkitaya Swarna Nagraj and Prakash Kotecha13 Dec 2022Scheduling of Jobs on Dissimilar Parallel Machine Using Computational Intelligence AlgorithmsRemya Kommadath and Prakash Kotecha18 January 2020 Stochastic Global OptimizationMetrics History PDF download