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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

Comparison of iterative searches for the quadratic assignment problem.

TL;DR: This paper compares some of the most efficient heuristic methods for the quadratic assignment problem and shows that no one method is better than all the others.

An introduction to variable neighborhood search

TL;DR: A relatively unexplored approach to the design of heuristics, the guided change of neighborhood in the search process, is examined, which leads to a new metaheuristic, which is widely applicable.
Journal ArticleDOI

A review of planning and scheduling systems and methods for integrated steel production

TL;DR: A comparative analysis of the production processes and production management problems for the SM–CC–HR and the traditional cold charge process is given and planning and scheduling systems developed and methods used for SM– CC–HR production are reviewed.
Journal ArticleDOI

The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems

TL;DR: The promising results on five real world optimization problems indicate that the SailFish Optimizer (SFO) is applicable for problem solving with constrained and unknown search spaces.
Journal ArticleDOI

Scheduling flow shops using differential evolution algorithm

TL;DR: The novel method requires few control variables, is relatively easy to implement and use, effective, and efficient, which makes it an attractive and widely applicable approach for solving practical engineering problems.
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.