Abstract - SpringerLink

Artificial Intelligence, Evolutionary Computing and Metaheuristics

Studies in Computational Intelligence, 2013, Volume 427/2013, 751-774, DOI: 10.1007/978-3-642-29694-9_28

Multi-objective Simulated Annealing Algorithm for Partner Selection in Virtual Enterprises

Hisham M. Abdelsalam and Amany M. Mohamed

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Abstract

Virtual Enterprise (VE) is a temporary alliance of autonomous enterprises formed to act together to share skills or core competencies and resources in order to respond to a market opportunity. The success of VE strongly depends on its composition, so partner selection can be considered as the most important problem in VE. This paper presents and solves a model for the partner selection problem in VEs that considers two main evaluation criteria; project completion time and total cost. To do so, the paper uses a multi-objective algorithm, namely Pareto Simulated Annealing (PSA). Results showed improved performance of PSA compared to the Tabu Search algorithm used in a recent study.

Keywords  Virtual Enterprises – Partner Selection – Pareto Simulated Annealing – multi-objective optimization

Abstract - SpringerLink