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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Adaptive automated construction of hybrid heuristics for exam timetabling and graph colouring problems
TL;DR: The overall aim here is to automate the heuristic design process, which draws upon an emerging research theme on developing computer methods to design and adapt heuristics automatically.
Journal ArticleDOI
Optimal buffer allocation in production lines
Leyuan Shi,Shuli Men +1 more
TL;DR: This paper incorporates the Tabu Search heuristic into the NP framework and demonstrates through numerical examples that using the hybrid method results in superior solutions for buffer allocation problems in large production lines.
Book ChapterDOI
The Graph Coloring Problem: A Bibliographic Survey
TL;DR: In this article, an arbitrary undirected graph without loops is defined as a graph where V = {v 1, v 2,…, v n } is its vertex set and E = {e 1,e 2, e m } ⊂ (E ×E) is its edge set.
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Stabulus: a technique for finding stable sets in large graphs with tabu search
TL;DR: This work presents some variations on the independent set problem and discusses the results obtained by the tabu search technique for graph coloring, which seems to be a very efficient heuristic procedure.
Journal ArticleDOI
A new Reinforcement Learning-based Memetic Particle Swarm Optimizer
TL;DR: A Reinforcement Learning-based Memetic Particle Swarm Optimization (RLMPSO) model with four global search operations and one local search operation is proposed, and it outperforms a number of state-of-the-art PSO-based algorithms.
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.
Journal ArticleDOI
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.