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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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Two-stage hybrid flow shop scheduling with preventive maintenance using multi-objective tabu search method

TL;DR: In this article, an integrated bi-objective optimisation problem with non-resumable jobs for production scheduling and preventive maintenance in a two-stage hybrid flow shop with one machine on the first stage and m identical parallel machines on the second stage is investigated.
Journal ArticleDOI

A Tabu Search Heuristic for the Inland Container Transportation Problem

TL;DR: The Inland Container Transportation Problem describes the movement of full and empty containers among a number of terminals, depots and customers in a hinterland region by an efficient Tabu Search Heuristic.
Journal ArticleDOI

Using tabu search to solve the common due date early/tardy machine scheduling problem

TL;DR: This article uses tabu search to solve the restricted, common-due-date, early/tardy machine scheduling problem generalised earliness and tardiness penalties and results show that a search which uses an early/Tardy solution space with a neighbourhood scheme which eliminates infeasible areas of the solution space is the most efficient and effective solution method.
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Multicriterion genetic optimization for due date assigned distribution network problems

TL;DR: The computation results show that the effect of due date is critical, and the ability of the proposed algorithms in taking trade-off between earliness and tardiness is shown.
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.
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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.