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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An iterated tabu search heuristic for the Single Source Capacitated Facility Location Problem
TL;DR: The paper presents an iterated tabu search heuristic to solve the SSCFLP and shows that this simple heuristic is capable of generating high quality solutions using small computing times and is also competitive with other metaheuristic approaches for solving the S SCFLP.
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A Novel Artificial Bee Colony Algorithm for Structural Damage Detection
TL;DR: A novel artificial bee colony (ABC) algorithm to detect structural damage via modal and frequency analyses is proposed (named as TCABC algorithm), and tabu search method and chaotic search method are adopted in the proposed algorithm to enhance the exploration and exploitation ability.
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A New Constructive Algorithm for Architectural and Functional Adaptation of Artificial Neural Networks
TL;DR: The experimental results show that NCA can produce ANN architectures with fewer hidden neurons and better generalization ability compared to existing constructive and nonconstructive algorithms.
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A survey on search-based model-driven engineering
TL;DR: The purpose of this paper is to survey the relatively recent research activity lying at the interface between these two fields, an area that has come to be known as search-based model-driven engineering.
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New local diversification techniques for flexible job shop scheduling problem with a multi-agent approach
Meriem Ennigrou,Khaled Ghedira +1 more
TL;DR: New diversification techniques for the second approach in order to get better results are proposed and a new promising approach combining the two latter ones are proposed.
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.