Future paths for integer programming and links to artificial intelligence
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.About:
This article is published in Computers & Operations Research.The article was published on 1986-05-01 and is currently open access. It has received 3985 citations till now. The article focuses on the topics: Integer programming & Tabu search.read more
Citations
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The multiple server center location problem
TL;DR: In this paper, the multiple server center location problem is introduced and the objective is to minimize the maximum time spent by any customer, including travel time and waiting time at the server sites.
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Metaheuristics for efficient aircraft scheduling and re-routing at busy terminal control areas
TL;DR: A number of algorithmic improvements implemented in the AGLIBRARY solver are presented in order to improve the possibility of finding good quality solutions quickly, and new metaheuristics, based on variable neighbourhood search, tabu search and hybrid schemes, are introduced.
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A tabu search experience in production scheduling
J. Wesley Barnes,Manuel Laguna +1 more
TL;DR: A synthesis of the various tabu search mechanisms that have been employed, giving special attention to advances that have led to major improvements and suggesting directions for future research.
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A novel metaheuristic approach for the flow shop scheduling problem
TL;DR: A new hybrid simulated annealing algorithm (hybrid SAA) is presented for solving the flow-shop scheduling problem (FSSP); an NP-hard scheduling problem with a strong engineering background and the performance of the proposed one was found superior.
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Design and Evaluation of Tabu Search Algorithms forMultiprocessor Scheduling
TL;DR: It was found that random blocking of the tail of the tabu list always improved performance; but that the use of frequency-based penalties to discourage frequently selected moves did not.
References
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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.
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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.