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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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Journal ArticleDOI

Iterated tabu search for the maximum diversity problem

TL;DR: An iterated tabu search (ITS) algorithm for solving the maximum diversity problem (MDP), which asks to select a specified number of elements from a given set so that the sum of distances between the selected elements is as large as possible.
Journal ArticleDOI

The minimum spanning tree problem with conflict constraints and its variations

TL;DR: A polynomial time approximation algorithm for the Max-ECP with performance ratio O(n(loglogn)^2log^3n), improving the best previously known bound of O( n).
Journal ArticleDOI

On the robust application of stochastic optimisation technology for the synthesis of reaction/separation systems

TL;DR: The paper presents a design transition framework at the interface between the optimisation technology and the process synthesis representation as well as customisation aspects that enable an efficient search of the vast number of processing candidates generally comprising the solution space of the Optimisation problem.
Journal ArticleDOI

Heuristics for container loading of furniture

TL;DR: This work considers a container loading problem that occurs at a typical furniture manufacturer and applies a set of heuristics successively that each solve one part of the problem.
Journal ArticleDOI

Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization

TL;DR: This paper presents a multi-objective task allocation algorithm based on the particle swarm optimization which is a new metaheuristic and has delivered many successful applications and devise a hybrid strategy for expediting the convergence process.
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.