The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 19-596
Full Name: Anon Sukstrienwong
Position: Assistant Professor
Age: ON
Sex: Male
Address: Bangkok University, School of Science and Technology, 40/4 Rama IV, Klongtoey, Bangkok
Country: THAILAND
Tel: 6623503500
Tel prefix:
Fax:
E-mail address: anon.su@bu.ac.th
Other E-mails: anon.su@yahoo.com
Title of the Paper: solving multiobjective optimization under bounds by genetic algorithms
Authors as they appear in the Paper: anon sukstrienwong
Email addresses of all the authors: anon.su@bu.ac.th
Number of paper pages: 8
Abstract: For complex engineering optimizing problems, several problems are required to be controlled within the specific interval in which something can operate or act efficiently. Most researchers minimize the objective vector into a single objective and interested in the set known as Pareto optimal solution. However, in this paper is concerned with the application of genetic algorithm to solve multi-objective problems in which some objectives are requested to be balanced within its objective bounds. The proposed approach called genetic algorithms for objective boundary (GAsOB scheme) for searching the possible solutions for the particular multi-objectives problems. The elite technique is employed to enhance the efficiency of the algorithm. The experimental results have compared with the results derived by a linear search technique and traditional genetic algorithms through the search space. From the experimental results, GAsOB scheme generates the solution efficiently wit!
h customization of the number of eras and immigration rate.
Keywords: Optimization, Genetic algorithms, Objective boundary, Simulation, Multiobjective optimization.
EXTENSION of the file: .doc
Special (Invited) Session: genetic algorithms for multi-objectives problemes under its objective boundary
Organizer of the Session: 635-121
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IP ADDRESS: 210.86.128.80
