ICCCI 2012: Computational Collective Intelligence. Technologies and Applications pp 433-442 | Cite as
A New Cooperative Search Strategy for Vehicle Routing Problem
Abstract
Cooperation as a problem-solving strategy is a widely used approach to solving complex hard optimization problems. It involves a set of highly autonomous programs (agents), each implementing a particular solution method, and a cooperation scheme combining these autonomous programs into a single problem-solving strategy. It is expected that such a collective of agents can produce better solutions than any individual members of such collective. The main goal of the paper is to propose a new population-based cooperative search approach for solving the Vehicle Routing Problem. It uses a set of search procedures, which attempt to improve solutions stored in a common, central memory. Access to a single common memory allows exploitation by one procedure solutions obtained by another procedure in order to guide the search through a new promising region of the search space, thus increasing chances for reaching the global optimum.
Keywords
cooperative search population-based methods multi-agent systems vehicle routing problemPreview
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