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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

Optimisation problems and resolution methods in satellite scheduling and space-craft operation: a survey

TL;DR: The fast development in the production of small, low-cost satellites is propelling an important increase in satellite mission planning and operations projects, according to the International Telecommunication Union (ITU).
Proceedings ArticleDOI

Communities of Local Optima as Funnels in Fitness Landscapes

TL;DR: It is concluded that clusters found by community detection in local optima networks offer a new way to characterize the multi-funnel structure of fitness landscapes.
Journal ArticleDOI

Parallel-identical-machine job-shop scheduling with different stage-dependent buffering requirements

TL;DR: In this article, a new and more generalised scheduling problem is proposed under different stage-dependent buffering requirements and parallel use of identical-function machine units at each processing stage in job shop environments.

Republique algerienne democratique et populaire ministere de l'enseignement superieur et de la recherche scientifique

TL;DR: In this article, the authors consider the best linear predictor (BLP) of functional autoregressive processes built with orthogonal projection on linearly closed subspaces and show almost sure convergence and exponential bounds for the predictors.
Journal ArticleDOI

Minimizing the number of tool switching instants in Flexible Manufacturing Systems

TL;DR: This study considers the single machine problem of minimizing the number of tool switching instants and proposes two tabu search approaches to find high-quality solutions that produce optimal or near-optimal solutions in reasonable times.
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.