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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Test cost minimization for hybrid BIST
TL;DR: A hybrid BIST solution for testing systems-on-chip which combines pseudorandom test patterns with stored deterministic test patterns is described, and two accurate algorithms are proposed for finding the optimal time-moment to stop pseud orandom test generation and to apply stored patterns.
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Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review
Helene Seyr,Michael Muskulus +1 more
TL;DR: The existing models in offshore wind farm operations and maintenance can be improved by applying more advanced mathematical methods, including uncertainties in the input, regarding more of the influential factors, and by collecting, analyzing, and subsequently using more accurate data.
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A tabu search heuristic for the Steiner Tree Problem
TL;DR: In this article, a tabu search algorithm for the Steiner Tree Problem in graphs is presented, where the main feature is a sophisticated strategy for quickly obtaining a very good solution and powerful diversification mechanisms.
Proceedings ArticleDOI
Designing digital FIR filters using Tabu search algorithm
TL;DR: In this paper, a novel method is presented for designing digital FIR filters based on a parallel Tabu search algorithm, which has proved to be highly effective and produced a good solution to the design of a digital FIR linear phase filter.
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.
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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.