NDLI: Threshold Based Dynamic and Adaptive Penalty Functions for Constrained Multiobjective Optimization

Content Provider	IEEE Xplore Digital Library
Author	Jan, M.A. Tairan, N. Khanum, R.A.
Copyright Year	2013
Description	Author affiliation: Dept. of Math., Kohat Univ. of Sci. & Technol., Kohat, Pakistan (Jan, M.A.) \|\| Coll. of Comput. Sci., King Khalid Univ., Abha, Saudi Arabia (Tairan, N.) \|\| Jinnah Coll. for Women, Univ. of Peshawar, Peshawar, Pakistan (Khanum, R.A.)
Abstract	Penalty functions are frequently used for dealing with constraints in constrained optimization. Among different types of penalty functions, dynamic and adaptive penalty functions seem effective, since the penalty coefficients in them are adjusted based on the current generation number (or number of solutions searched) and feedback from the search. In this paper, we propose dynamic and adaptive versions of our recently proposed threshold based penalty function. They are then implemented in the multiobjective evolutionary algorithm based on decomposition (MOEA/D) framework to solve constrained multi objective optimization problems (CMOPs). This led to a new algorithm, denoted by CMOEA/D-DE-TDA. The performance of CMOEA/D-DE-TDA is tested on CTP-series test instances in terms of the HV-metric and SC-metric. The experimental results are compared with IDEA and NSGA-II, which show the effectiveness of the proposed algorithm.
Starting Page	49
Ending Page	54
File Size	1089951
Page Count	6
File Format	PDF
e-ISBN	9781479932511
DOI	10.1109/AIMS.2013.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Constrained multiobjective optimization Penalty function Sociology Educational institutions Vectors Decomposition Approximation methods Statistics MOEA/D Optimization Threshold
Content Type	Text
Resource Type	Article

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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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