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Open AccessJournal ArticleDOI

Future paths for integer programming and links to artificial intelligence

Fred Glover
- 01 May 1986 - 
- Vol. 13, Iss: 5, pp 533-549
TLDR
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.
Citations
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Journal ArticleDOI

Crystal Structure Algorithm (CryStAl): A Metaheuristic Optimization Method

TL;DR: In this paper, the authors proposed a novel metaheuristic called CryStAl, which is inspired by the principles underlying the formation of crystal structures from the addition of the basis to the lattice points, which can be seen in the symmetric arrangement of constituents (i.e. atoms, molecules, or ions) in crystalline minerals such as quartz.
Journal ArticleDOI

Availability consideration in the optimal selection of multiple-aspect RMS configurations

TL;DR: In this article, the authors extended a model for optimizing reconfigurable manufacturing systems (RMS) configurations with multiple-aspects to incorporate the effect of machine availability using the universal generating function (UGF), and used two powerful meta-heuristic optimization techniques, namely genetic algorithms (GAs) and tabu search (TS), to optimize the capital cost and system availability of the RMS configurations.
Journal ArticleDOI

The strategies and parameters of tabu search for job-shop scheduling

TL;DR: This paper focussed on the tabu search strategies and parameters such as initial solution, neighborhood structure, tabu list, aspiration criterion, elite solutions list, intensification, diversification and the number of iteration for the job-shop scheduling problem.
Journal ArticleDOI

Tabu search algorithm for chemical process optimization

TL;DR: This paper presents a meta-heuristic optimization algorithm, Tabu Search, and describes how it can be used to solve a wide variety of chemical engineering problems and guidelines for adjusting these parameters are provided to relieve a significant amount of time-consuming trial-and-error experiments.
Book ChapterDOI

A Taxonomy of Metaheuristics for Bi-level Optimization

TL;DR: A taxonomy of metaheuristics to solve BOPs is presented in an attempt to provide a common terminology and classification mechanisms and is also applicable to most types of heuristics and exact optimization algorithms.
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.
Journal ArticleDOI

Equation of state calculations by fast computing machines

TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Book

The Sciences of the Artificial

TL;DR: A new edition of Simon's classic work on artificial intelligence as mentioned in this paper adds a chapter that sorts out the current themes and tools for analyzing complexity and complex systems, taking into account important advances in cognitive psychology and the science of design while confirming and extending Simon's basic thesis that a physical symbol system has the necessary and sufficient means for intelligent action.
Journal ArticleDOI

Combinatorial optimization: algorithms and complexity

TL;DR: This clearly written, mathematically rigorous text includes a novel algorithmic exposition of the simplex method and also discusses the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; approximation algorithms, local search heuristics for NPcomplete problems, more.
Book

The Architecture of Cognition

TL;DR: Adaptive Control of Thought (ACT*) as mentioned in this paper is a theory of the basic principles of operation built into the cognitive system and is the main focus of Anderson's theory of cognitive architecture.