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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New metaheuristic approaches for the edge-weighted k -cardinality tree problem
Christian Blum,Maria J. Blesa +1 more
TL;DR: Three metaheuristic approaches are proposed, namely a Tabu Search, an Evolutionary Computation and an Ant Colony Optimization approach, for the edge-weighted k-cardinality tree (KCT) problem, an NP-hard combinatorial optimization problem that generalizes the well-known minimum weight spanning tree problem.
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An integrated global and local optimization approach for remediation system design
Chunmiao Zheng,P. Patrick Wang +1 more
TL;DR: In this article, a metaheuristic method, tabu search, is integrated with linear programming to solve remediation design problems, which takes advantage of the fact that the global optimization approach is most effective for optimizing discrete well location variables, while linear programming is much more efficient for optimizing continuous pumping rate variables.
Posted Content
A History of Metaheuristics
TL;DR: The history of metaheuristics in five distinct periods, starting long before the first use of the term and ending a long time in the future, is described in this article.
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A bicriteria solid transportation problem with fixed charge under stochastic environment
Lixing Yang,Yuan Feng +1 more
TL;DR: Three mathematical models are constructed for the solution of a bicriteria solid transportation problem with stochastic parameters, including expected value goal programming model, chance-constrained goal Programming model and dependent-chance goal programming models.
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A sustainable heuristic QoS routing algorithm for pervasive multi-layered satellite wireless networks
TL;DR: Improved the virtual topology strategy and import heuristic algorithm to satisfy the QoS requirements of the MLSN users and results show that heuristic routing algorithm can provide more QoS guarantees than shortest path first algorithm on package loss rate, link congestion and call blocking.
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.