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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Integrated Ant Colony and Tabu Search approach for time dependent vehicle routing problems with simultaneous pickup and delivery
TL;DR: A hybrid algorithm is developed that integrates both Ant Colony System (ACS) and Tabu Search algorithms and outperforms stand-alone ACS and the TS algorithms for time dependent vehicle routing problems with simultaneous pickup and delivery (TD-VRPSPD).
Stochastic Global Optimization Techniques
TL;DR: The proof of convergence to the global optimum has been given for the proposed Electromagnetism-like Mechanism, and the thrust of the proof has been to show that in the limit, at least one of the points in the population moves to the neighborhood of theglobal optimum with probability one.
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Solving mesh router nodes placement problem in Wireless Mesh Networks by Tabu Search algorithm
TL;DR: The implementation and evaluation of Tabu Search (TS) for the problem of mesh router node placement in WMNs is presented and the efficiency of TS in solving a benchmark of instances is shown.
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A hybrid particle swarm optimization with a variable neighborhood search for the localization enhancement in wireless sensor networks
Bassam Faiz Gumaida,Juan Luo +1 more
TL;DR: In this paper, a hybrid particle swarm optimization with variable neighborhood search (HPSOVNS) algorithm is proposed to increase the localization accuracy and reduce the development costs of WSNs.
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Heuristic optimisation in financial modelling
Manfred Gilli,Enrico Schumann +1 more
TL;DR: In this article, the authors argue that an alternative approach is the application of optimisation heuristics like Simulated Annealing or Genetic Algorithms, which have been shown to be capable of handling non-convex optimisation problems with all kinds of constraints.
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.