A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming

2007 IEEE Congress on Evolutionary Computation, CEC 2007

Volumn , Issue , 2007, Pages 3011-3018

  Kumar, Abhay ^a   Sharma, Deepak ^a   Deb, Kalyanmoy ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

HYBRID METHODS; SEQUENTIAL QUADRATIC PROGRAMMING;

COMPUTATIONAL EFFICIENCY; MULTIOBJECTIVE OPTIMIZATION; PROBLEM SOLVING; QUADRATIC PROGRAMMING;

GENETIC ALGORITHMS;

EID: 79955330141     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424855     Document Type: Conference Paper

References (9)

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3. K. Deb. Multi-objective optimization using evolutionary algorithms. Chichester, UK: Wiley, 2001.
4. K. Deb, A. Sinha, and S. Kukkonen. Multi-objective test problems, linkages and evolutionary methodologies. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2006), pages 1141-1148. New York: The Association of Computing Machinery (ACM), 2006.
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7. K. Deb and Abhay Kumar. Light beam search based multi-objective optimization using evolutionary algorithms. Technical Report KanGAL Report No. 2007005, Indian Institute of Technology Kanpur, India, 2007.
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9. D. Sharma, A. Kumar, K. Deb, and K. Sindhya. Hybridization of sbx based nsga-ii and sequential quadratic programming for solving multiobjective optimization problems. Technical Report KanGAL Report No. 2007007, Indian Institute of Technology Kanpur, India, 2007.