BibTeX
@MISC{Glover89tabusearch,
author = {Fred Glover},
title = {Tabu Search -- Part I},
year = {1989}
}
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Abstract
This paper presents the fundamental principles underlying tabu search as a strategy for combinatorial optimization problems. Tabu search has achieved impressive practical successes in applications ranging from scheduling and computer channel balancing to cluster analysis and space planning, and more recently has demonstrated its value in treating classical problems such as the traveling salesman and graph coloring problems. Nevertheless, the approach is still in its infancy, and a good deal remains to be discovered about its most effective forms of implementation and about the range of problems for which it is best suited. This paper undertakes to present the major ideas and findings to date, and to indicate challenges for future research. Part I of this study indicates the basic principles, ranging from the short-term memory process at the core of the search to the intermediate and long term memory processes for intensifying and diversifying the search. Included are illustrative data structures for implementing the tabu conditions (and associated aspiration criteria) that underlie these processes. Part I concludes with a discussion of probabilistic tabu search and a summary of computational experience for a variety of applications. Part I1 of this study (to appear in a subsequent issue) examines more advanced considerations, applying the basic ideas to special settings and outlining a dynamic move structure to insure finiteness. Part I1 also describes tabu search methods for solving mixed integer programming problems and gives a brief summary of additional practical experience, including the use of tabu search to guide other types of processes, such as those
Keyphrases
tabu search part i1 probabilistic tabu search additional practical experience mixed integer brief summary advanced consideration tabu search method combinatorial optimization problem illustrative data structure effective form aspiration criterion basic principle good deal fundamental principle computational experience classical problem major idea long term memory special setting basic idea subsequent issue space planning computer channel dynamic move structure short-term memory process future research graph coloring problem impressive practical success tabu condition
