NDLI: Combinatorial problem solving using randomized dynamic tunneling on a production system

Content Provider	IEEE Xplore Digital Library
Author	Kanada, Y.
Copyright Year	1995
Description	Author affiliation: Tsukuba Res. Center, Ibaraki, Japan (Kanada, Y.)
Abstract	Levy and Montalvo (1985), Yao (1989), and Shima (1993) individually proposed tunneling algorithms. The tunneling algorithms employ analogy to the tunnel effect in physics, and are used to optimize continuous systems. The present paper proposes a method of solving combinatorial problems using a type of randomized dynamic tunneling technique. This method is based on a computational model called CCM. CCM is an extended version of the Chemical Casting Model (CCM). CCM was proposed by the author toward developing a method of solving open and incompletely-specified problems that may change while being solved, using self-organizing computation. The 0-1 integer programming problem is solved using CCM* with a very simple rule and an evaluation function. CCM* allows one to escape from local maxima by composing the rule dynamically and randomly. This cannot be done by using the original production rule. The author's experiments show that approximate solutions can be found more rapidly by CCM* than by using a branch-and-bound method in the case of 0-1 integer programming.
Starting Page	3784
Ending Page	3789
File Size	664328
Page Count	6
File Format	PDF
ISBN	0780325591
DOI	10.1109/ICSMC.1995.538377
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Problem-solving Tunneling Production systems Computational modeling Linear programming World Wide Web Physics Continuous time systems Chemicals Casting
Content Type	Text
Resource Type	Article

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