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A template for scatter search and path relinking

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Artificial Evolution (AE 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1363))

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Abstract

Scatter search and its generalized form called path relinking are evolutionary methods that have recently been shown to yield promising outcomes for solving combinatorial and nonlinear optimization problems. Based on formulations originally proposed in the 1960s for combining decision rules and problem constraints, these methods use strategies for combining solution vectors that have proved effective for scheduling, routing, financial product design, neural network training, optimizing simulation and a variety of other problem areas. These approaches can be implemented in multiple ways, and offer numerous alternatives for exploiting their basic ideas. We identify a template for scatter search and path relinking methods that provides a convenient and “user friendly” basis for their implementation. The overall design can be summarized by a small number of key steps, leading to versions of scatter search and path relinking that are fully specified upon providing a handful of subroutines. Illustrative forms of these subroutines are described that make it possible to create methods for a wide range of optimization problems.

This research was supported in part by the Air Force Office of Scientific Research Grant #F49620-97-1-0271.

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Authors and Affiliations

  1. School of Business, CB 419, University of Colorado, 80309-0419, Boulder, CO, USA

    Fred Glover

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  1. Fred Glover
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Editor information

Jin-Kao Hao Evelyne Lutton Edmund Ronald Marc Schoenauer Dominique Snyers

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© 1998 Springer-Verlag Berlin Heidelberg

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Glover, F. (1998). A template for scatter search and path relinking. In: Hao, JK., Lutton, E., Ronald, E., Schoenauer, M., Snyers, D. (eds) Artificial Evolution. AE 1997. Lecture Notes in Computer Science, vol 1363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0026589

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  • DOI: https://doi.org/10.1007/BFb0026589

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  • Print ISBN: 978-3-540-64169-8

  • Online ISBN: 978-3-540-69698-8

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