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
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A survey of biodiversity informatics: Concepts, practices, and challenges
Luiz M. R. Gadelha,Pedro C. de Siracusa,Eduardo Dalcin,Luís Alexandre Estevão da Silva,Douglas A. Augusto,Eduardo Krempser,Helen Michelle Affe,Raquel Lopes Costa,Maria Luiza Mondelli,Pedro M. Meirelles,Fabiano L. Thompson,Marcia Chame,Artur Ziviani,Marinez Ferreira de Siqueira +13 more
TL;DR: This article explores each stage of the life cycle of biodiversity data, discussing its methodologies, tools, and challenges.
Journal ArticleDOI
Search-based model transformations
TL;DR: This work focuses on model transformations, a discipline which facilitates the abstraction of relevant information of a system as models and the application of transformations is realized either by following the apply‐as‐long‐as-possible strategy or by the provision of explicit rule orchestrations.
Dissertation
Approches hybrides pour les problèmes multiobjectifs
TL;DR: In this paper, the authors propose three types of contributions: premierement, developpons pour le probleme du sac a dos multidimensionnel multiobjectif des algorithmes ori-ginaux fondes sur la recherche Tabou ou evolutionnaire integrant une gestion efficace de la diversite, deuxiemement, nous generalisons notre approche pour etablir un modele de calcul formel qui pourra etre le noyau d'une famille d'algorithmes du meme schema.
Journal ArticleDOI
A tabu search algorithm for the training of neural networks
TL;DR: An efficient TS algorithm employing different strategies to provide a balance between intensification and diversification is proposed for the training of NNs and is found to outperform other metaheuristic techniques in the majority of the test cases.
Proceedings Article
Heuristic and metaheuristic optimization techniques with application to power systems
TL;DR: This paper provides basic knowledge about most widely used (meta)heuristic optimization techniques, and their application in optimization problems in power systems.
References
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Journal ArticleDOI
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.