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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Optimal location with equitable loads
TL;DR: The problem considered in this paper is to find p locations for p facilities such that the weights attracted to each facility will be as close as possible to one another, and heuristic algorithms (two types of a steepest descent approach and tabu search) are proposed for its solution.
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Lasso solution strategies for the vehicle routing problem with pickups and deliveries
TL;DR: This article develops a tabu search algorithm capable of producing lasso solutions for vehicle routing problem with pickups and deliveries where the same customer may require both a delivery and a pickup.
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Variable Neighborhood Search for a Dynamic Rich Vehicle Routing Problem with time windows
TL;DR: A metaheuristic procedure based on Variable Neighborhood Search is proposed to solve this real-world Dynamic Rich Vehicle Routing Problem with Time Windows and is competitive with the best results from the literature.
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Optimal Water Distribution Network Design with Honey-Bee Mating Optimization
S. Mohan,K. S. Jinesh Babu +1 more
TL;DR: The importance and huge cost of water distribution network is a costly infrastructure and plays a crucial role in supplying water for the consumers especially for those who are living in the urban areas.
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A tabu search Hooke and Jeeves algorithm for unconstrained optimization
K. S. Al-Sultan,M.A. Al-Fawzan +1 more
TL;DR: This paper addresses the problem of finding the global minimum of a nonconvex function by developing a new hybrid algorithm based on tabu search that is very efficient and robust.
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.