Simulated Jumping

S. Amin

Annals of Operations Research, 1999, vol. 86, issue 0, 23-38

Abstract: This paper describes a novel approach for solving combinatorial optimisation problemscalled Simulated Jumping. It is based on ideas from spin‐glasses, simulated annealing andself‐organisation. We start from a low temperature, and the system is then subjected to arapid heating and cooling process (a shaking process). This process is controlled by thesystem's energy in a self‐organised manner. The heating and cooling process will continuouslymelt and freeze local regions: this process pushes the system out of local minimaand hence minimises the energy function. Application of the Simulated Jumping method tothe Quadratic Assignment and Asymmetric Travelling Salesman problems gives promisingresults. Copyright Kluwer Academic Publishers 1999

Date: 1999
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DOI: 10.1023/A:1018954718550

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