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Multi-Start and Strategic Oscillation Methods — Principles to Exploit Adaptive Memory

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Computing Tools for Modeling, Optimization and Simulation

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 12))

Abstract

We propose approaches for creating improved forms of constructive multi-start and strategic oscillation methods, based on the search principles of persistent attractiveness and marginal conditional validity. These approaches embody adaptive memory processes by drawing on combinations of recency and frequency information, which can be monitored to encompass varying ranges of the search history. In addition, we propose designs for investigating these approaches empirically, and indicate how a neglected but important kind of memory called conditional exclusion memory can be implemented within the context of these methods.

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© 2000 Springer Science+Business Media New York

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Glover, F. (2000). Multi-Start and Strategic Oscillation Methods — Principles to Exploit Adaptive Memory. In: Laguna, M., Velarde, J.L.G. (eds) Computing Tools for Modeling, Optimization and Simulation. Operations Research/Computer Science Interfaces Series, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4567-5_1

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  • DOI: https://doi.org/10.1007/978-1-4615-4567-5_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7062-8

  • Online ISBN: 978-1-4615-4567-5

  • eBook Packages: Springer Book Archive

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