NDLI: Solving Large Parameter Mixed-Integer Problems Using Hybrid Evolutionary Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Rong-Song He
Copyright Year	2009
Abstract	In this paper, an effective adaptive real-parameter simulated annealing genetic algorithm (ARSAGA) that is applied to cope with mixed-integer nonlinear programming problems. The proposed method synthesized the merits of both genetic algorithm and simulated annealing. Adaptive mechanisms are also included to make the evolutionary scheme active and result in improving the hill-climbing ability and the convergence speed. The performances of this proposed algorithm are demonstrated in several large parameter optimization functions. Due to their versatile characteristics, these examples are suitable to test the ability of the proposed algorithm. The results of this novel hybrid algorithm under different population sizes and frozen numbers were discussed and appropriate parametric combinations of both parameters were also suggested in this paper. ARSAGA also shows excellent performances in large parameter mixed-integer optimization problems.
Starting Page	425
Ending Page	429
File Size	910832
Page Count	5
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.319
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Genetic mutations Optimization methods Evolutionary computation Genetic Algorithm Smulated Annealing Algorithm Electronic mail Helium Mechanical engineering Large Parameter Mixed-Integer problems Genetic algorithms Convergence Hybrid evolutionary Algorithm Simulated annealing
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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