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Journal ArticleDOI

Tabu Search—Part II

Fred Glover
- 01 Aug 1989 - 
- Vol. 2, Iss: 1, pp 4-32
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TLDR
The elements of staged search and structured move sets are characterized, which bear on the issue of finiteness, and new dynamic strategies for managing tabu lists are introduced, allowing fuller exploitation of underlying evaluation functions.
Abstract
This is the second half of a two part series devoted to the tabu search metastrategy for optimization problems. Part I introduced the fundamental ideas of tabu search as an approach for guiding other heuristics to overcome the limitations of local optimality, both in a deterministic and a probabilistic framework. Part I also reported successful applications from a wide range of settings, in which tabu search frequently made it possible to obtain higher quality solutions than previously obtained with competing strategies, generally with less computational effort. Part II, in this issue, examines refinements and more advanced aspects of tabu search. Following a brief review of notation, Part II introduces new dynamic strategies for managing tabu lists, allowing fuller exploitation of underlying evaluation functions. In turn, the elements of staged search and structured move sets are characterized, which bear on the issue of finiteness. Three ways of applying tabu search to the solution of integer programmin...

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Citations
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A new rank based version of the ant system: a computational study

TL;DR: It turns out that the new rank based ant system can compete with the other methods in terms of average behavior, and shows even better worst case behavior.
Journal ArticleDOI

Routing and scheduling in a flexible job shop by tabu search

TL;DR: A hierarchical algorithm for the flexible job shop scheduling problem is described, based on the tabu search metaheuristic, which allows to adapt the same basic algorithm to different objective functions.
Journal ArticleDOI

The Reactive Tabu Search

TL;DR: An algorithm for combinatorial optimization where an explicit check for the repetition of configurations is added to the basic scheme of Tabu search, and it is shown that the Hashing or Digital Tree techniques can be used in order to search for repetitions in a time that is approximately constant.
Journal ArticleDOI

The traveling salesman problem: An overview of exact and approximate algorithms

TL;DR: Some of the main known algorithms for the traveling salesman problem are surveyed and the definition and applications of these algorithms are explained.
References
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Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Book

Integer programming

TL;DR: The principles of integer programming are directed toward finding solutions to problems from the fields of economic planning, engineering design, and combinatorial optimization as mentioned in this paper, which is a standard of graduate-level courses since 1972.
Journal ArticleDOI

Future paths for integer programming and links to artificial intelligence

TL;DR: Four key areas of Integer programming are examined from a framework that links the perspectives of artificial intelligence and operations research, and each has characteristics that appear usefully relevant to developments on the horizon.

The traveling salesman problem

TL;DR: This study tested human performance on a real and virtual floor, as well as in a threedimensional (3D) virtual space, and modeled these results by a graph pyramid algorithm, which suggests that deterioration of performance in the 3D space can be attributed to geometrical relations between hierarchical clustering in a3D space and coarse-to-fine production of a tour.
Journal ArticleDOI

Heuristics for integer programming using surrogate constraints

TL;DR: In this paper, a class of surrogate constraint heuristics are proposed for integer programming problems. But they are based on a simple framework that illuminates the character of several earlier heuristic proposals and provides a variety of new alternatives.