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Transactions ID Number: 31-753
Full Name: Osama Emam
Position: Lecturer
Age: ON
Sex: Male
Address: Helwan University, P.O. Box 11795,
Country: EGYPT
Tel: 0111711669
Tel prefix: 0111711669
Fax: 0222010358
E-mail address: emam_o_e@yahoo.com
Other E-mails: emam_o_e@hotmail.com
Title of the Paper: A Genetic Algorithm Based Technique for Solving the Supply-Demand Interaction in Electronic Commerce
Authors as they appear in the Paper: M.S. Osman , M.A. Abo-Sinna , A.H. Amer, O.E. Emam,
Email addresses of all the authors: emam_o_e@hotmail.com
Number of paper pages: 10
Abstract: Bi-level programming, a tool for modeling decentralized decisions, consists of the objectives of the leader at its first level and that of the follower at the second level. Numerous algorithms have been developed so far for solving bi-level programming problem .In this paper by using genetic algorithm (GA), an attempt has been made to solve a real problem, (the supply – demand interaction in electronic commerce(EC) ) , taking into account the non – linear model to such problem .By applying the bi-level programming technique via genetic algorithm and a flow chart of interaction process, the study will develop an analytical process to explain how supply – demand interaction achieves a compromise solution or why the process fails. The proposed genetic algorithm utilizes the idea of the weak duality theorem, such that both primal and dual solution of the non-linear programming problem under consideration is generated simultaneously, to determine the interval in which!
the optimal solution is located. Finally, an illustrative numerical example, of the application problem, is given to demonstrate the obtained results.
Keywords: Bi-level programming; supply-demand interaction; fuzzy decision-approach; Pareto optimal solution; genetic algorithm.
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