NDLI: A new multiobjective simulated annealing algorithm

Content Provider	Springer Nature Link
Author	Tekinalp, Ozan Karsli, Gizem
Copyright Year	2006
Abstract	A new multiobjective simulated annealing algorithm for continuous optimization problems is presented. The algorithm has an adaptive cooling schedule and uses a population of fitness functions to accurately generate the Pareto front. Whenever an improvement with a fitness function is encountered, the trial point is accepted, and the temperature parameters associated with the improving fitness functions are cooled. Beside well known linear fitness functions, special elliptic and ellipsoidal fitness functions, suitable for the generation on non-convex fronts, are presented. The effectiveness of the algorithm is shown through five test problems. The parametric study presented shows that more fitness functions as well as more iteration gives more non-dominated points closer to the actual front. The study also compares the linear and elliptic fitness functions. The success of the algorithm is also demonstrated by comparing the quality metrics obtained to those obtained for a well-known evolutionary multiobjective algorithm.
Starting Page	49
Ending Page	77
Page Count	29
File Format	PDF
ISSN	09255001
Journal	Journal of Global Optimization
Volume Number	39
Issue Number	1
e-ISSN	15732916
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2006-12-06
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multiobjective optimization Simulated annealing Pareto front Optimization Real Functions Computer Science Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Applied Mathematics Management Science and Operations Research Business, Management and Accounting Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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