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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

Ant system: optimization by a colony of cooperating agents

TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Journal ArticleDOI

No free lunch theorems for optimization

TL;DR: A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving and a number of "no free lunch" (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performance over another class.
Book

An Introduction to Genetic Algorithms

TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
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The Whale Optimization Algorithm

TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Book

Ant Colony Optimization

TL;DR: Ant colony optimization (ACO) is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals as discussed by the authors In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization.
References
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Journal ArticleDOI

Interactive decision software and computer graphics for architectural and space planning

TL;DR: A collection of new methods are described, invisible to the user, capable of generating good solutions to the mathematical programming problems that underlie each major design component and obtain answers in seconds to minutes on a minicomputer.
Journal ArticleDOI

Scheduling Jobs with Linear Delay Penalties and Sequence Dependent Setup Costs

TL;DR: A hybrid algorithm analogous to Morin and Marsten's Dynamic Programming/Branch-and-Bound approach to the traveling salesman problem is utilized, which applies a fathoming criterion to the states of the Dynamic Program in order to drastically reduce memory and comp...
Journal ArticleDOI

LEAST-COST NETWORK TOPOLOGY DESIGN FOR A NEW SERVICE: An application of tabu search*

TL;DR: In this paper, the authors describe an implementation of the tabu search metaheuristic that effectively finds a low-cost topology for a communications network to provide a cenlialized new service.
Journal ArticleDOI

New Polynomial Shortest Path Algorithms and Their Computational Attributes

TL;DR: Six new variants of the polynomially bounded Partitioning Shortest Path algorithm for finding the shortest path from one node to all other nodes in a network augment the PSP algorithm to maintain a property called sharp by Shier and Witzgall.

An efficient simulated annealing schedule

TL;DR: An efficient annealing schedule is presented which speeds up simulatedAnnealing by a factor of up to twenty-four when compared with general schedules currently available in the literature and compares the method with efficient heuristics on well-studied problems.