The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 42-636
Full Name: Anon Sukstrienwong
Position: Assistant Professor
Age: ON
Sex: Male
Address: School of Science and Technology, Bangkok University, Bangkok
Country: THAILAND
Tel: 662-3503500
Tel prefix: 1690
Fax:
E-mail address: anon.su@bu.ac.th
Other E-mails:
Title of the Paper: Solving Pig Food Problems by Multi-Criteria 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: 11
Abstract: This paper presents a new approach based on genetic algorithms (GAs) for multi-criteria to solve pig food problems, called Era-GAs scheme. The algorithm forms pig foods formulation with the aim of finding lowest cost under the conditions of the ingredient prices and pig's nutritional requirements such as energy, fat, protein, minerals, and vitamins. The requirements and the average price of pig food are primarily considered as multiple objectives for Era-GAs scheme. The simulation results of a proposed approach are compared with traditional GA with a standard parameter set. Experimental results indicate that Era-GAs scheme performs better in any environments. The advantage of the proposed approach is that it does not require any additional information about the problem.
Keywords: Pig food problem, Multi-criteria optimization, Genetic algorithm, Simulation formation
EXTENSION of the file: .doc
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