Fast Mesh-Sorting in Multi-objective Optimization∗. Issue 8 (2015)

• Record Type: Journal Article
• Authors: Patel, Narendra; Padhiyar, Nitin
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 8(2015)
• Page Start: 936
• Page End: 941
• Publication Date: 2015
• Subjects: Multi-objective Optimization -- Genetic Algorithm -- NSGA -- mesh-sort; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.090
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: A single parameter based fast mesh-sorting is proposed in this work. The single parameter algorithm as compared to non-dominated sorting eliminates the classification of the population into non-dominated fronts and calculating crowding distance. The proposed one parameter approach also provides flexibility of choosing any probability based selection operator. On the other hand, non-dominated sorting approach can only use tournament selection directly. We have considered Zitzler-Deb-Thieles (ZDT) test functions to test computational and convergence capabilities of proposed algorithm. The performance of the proposed algorithm is compared with conventional Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and NSGA-II with a recent fast corner-sort algorithm. We have also considered optimal control of fed-batch reactor as Multi-objective optimization application.