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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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Time-line based model for software project scheduling with genetic algorithms

TL;DR: A new, richer model that is capable of more realistically simulating real-world situations is described along with a new GA that produces optimal or near-optimal schedules, and results show that this new model enhances the ability of GA-based approaches, while providing decision support under more realistic conditions.
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A hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path problems

TL;DR: A new hybridized version of Particle Swarm Optimization algorithm with Variable Neighborhood Search is proposed for solving this significant combinatorial optimization problem, the Constrained Shortest Path problem.
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Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems

TL;DR: This review aims at providing a detailed description of selected literature in the field of CAD of PCa, emphasizing the role of texture analysis methods in tissue description, as well as future directions in pursuit of better texture-based CAD systems.
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A novel multi-swarm particle swarm optimization with dynamic learning strategy

TL;DR: A novel multi-swarm particle swarm optimization with dynamic learning strategy (PSO-DLS) to improve the performance of PSO and demonstrate its promising effectiveness in solving complex problems statistically comparing to other algorithms.
Journal ArticleDOI

Nongradient Methods in Multidisciplinary Design Optimization-Status and Potential

TL;DR: This paper primarily focuses on the use of nontraditional optimization methods in multidisciplinary design optimization problems, broadly classified today as soft computing strategies, and examines issues pertinent to using these methods in MDO 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.