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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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The vehicle-routing problem with time windows and driver-specific times

TL;DR: In this article, a tabu search algorithm for the vehicle-routing problem with time windows and driver-specific times (VRPTWDST) is proposed, a variant of the classical VRPTW that uses driver specific travel and service times to model the familiarity of the different drivers with the customers to visit.
Journal ArticleDOI

Generalized Assignment Type Goal Programming Problem: Application to Nurse Scheduling

TL;DR: A short term Tabu Search method together with diversification strategies are used to deal with the additional side constraints of an Assignment Type problem as goal functions in the Generalized Assignment Type Goal Programming Problem.
Journal ArticleDOI

Metaheuristic based control of a flow rack automated storage retrieval system

TL;DR: Two metaheuristic algorithms, namely taboo search and simulated annealing, applied to the control of a flow rack automated storage retrieval system (AS/RS) are presented and compared to classical heuristics and analytical models found in literature.
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RMRPTS: a reliable multi-level routing protocol with tabu search in VANET

TL;DR: A reliable multi-level routing protocol based on clustering, RMRPTS has been introduced in VANETs and will solve the problem of developing a trap in the local optimum using tabu search.
Journal ArticleDOI

A hybridized Lagrangian relaxation and simulated annealing method for the course timetabling problem

TL;DR: A solver for the problem, which integrates both teacher assignment and course scheduling, is described, and an initial solution is obtained by a mathematical programming approach based on Lagrangian relaxation.
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.