Many-Objective Optimization

Malik, Affan and Mitra, Kishalay (2017) Many-Objective Optimization. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Many - Objective Optimization Problems (MaOOP) is the new avenue of research in Multi - Objective Optimization Problems (MOOP). MaOOP is MOOP with 4 or more objectives. Th e challenges and differences of MaOOP from MOOP are discussed. A state of the art algorithm, MOEA/DD (Multi - Objective Evolutionary Algorithm /Dominance and Decmposition, MOEA/DD) for MaOOP is explained in detail and it has been implemented and tested on st andard test problems and a few other algorithm are also discussed briefly

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IITH Creators:	IITH Creators ORCiD Mitra, Kishalay http://orcid.org/0000-0001-5660-6878
Item Type:	Thesis (Masters)
Uncontrolled Keywords:	MOEA/DD, TD946
Subjects:	Chemical Engineering
Divisions:	Department of Chemical Engineering
Depositing User:	Team Library
Date Deposited:	24 Jul 2017 04:45
Last Modified:	29 May 2019 08:48
URI:	http://raiithold.iith.ac.in/id/eprint/3419
Publisher URL:
Related URLs:	Google Scholar

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