Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /

Milano, Michela. editor.; SpringerLink (Online service)

Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /

Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.

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Main Authors:	Milano, Michela. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Springer US : Imprint: Springer, 2004
Subjects:	Computer science., Operations research., Decision making., Programming languages (Electronic computers)., Computers., Artificial intelligence., Mathematical optimization., Computer Science., Programming Languages, Compilers, Interpreters., Artificial Intelligence (incl. Robotics)., Optimization., Theory of Computation., Operation Research/Decision Theory.,
Online Access:	http://dx.doi.org/10.1007/978-1-4419-8917-8
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spelling	KOHA-OAI-TEST:1734762018-07-30T22:51:11ZConstraint and Integer Programming [electronic resource] : Toward a Unified Methodology / Milano, Michela. editor. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2004.engConstraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.Constraint and Integer Programming -- 1 Introduction -- 2 CP(FD) Basic Concepts -- 3 Integer Linear Programming Basic Concepts -- 4 Incomplete search strategies -- 5 Conclusion -- References -- Two Generic Schemes for Efficient and Robust Cooperative Algorithms -- 1 Introduction -- 2 Operations Research Algorithms and Constraint Programming -- 3 Operations Research Algorithms and Mixed Integer Programming -- 4 Constraint Programming and Mixed Integer Programming -- 5 Operations Research Algorithms and Local Search -- 6 Mixed Integer Programming and Local Search -- 7 Constraint Programming and Local Search -- References -- Branch-and-Infer: A Framework for Combining CP and IP -- 1 Introduction -- 2 Modeling in CP and IP -- 3 An illustrating example: discrete tomography -- 4 Branch and Infer -- 5 Symbolic constraints in IP -- 6 Example: Symbolic constraints for supply chain planning -- 7 Summary -- References -- Global Constraints and FiItering Algorithms -- 1 Introduction -- 2 Global Constraints -- 3 Filtering Algorithms -- 4 Two Successful Filtering Algorithms -- 5 Global Constraints and Over-eonstrained Problems -- 6 Quality of Filtering Algorithms -- 7 Discussion -- 8 Conclusion -- References -- Exploiting relaxations in CP -- 1 Introduction and Motivation -- 2 Integer Linear Programming and Relaxations -- 3 Integrating Relaxations in CP -- 4 Relax to propagate -- 5 Relax to guide the search -- 6 A case study: global optimization constraints for a Path constraint -- References -- Hybrid Problem Solving in ECLiPSe -- 1 Introduction -- 2 Integration of Constraints and Operations Research -- 3 Language Ingredients for Hybrid Solvers -- 4 ECLiPSe as a Platform for Building Hybrid Aigorithms -- 5 Programming a Hybrid Search in ECLiPSe -- 6 Conclusion -- References -- CP Based Branch-and-Price -- 1 Introduction -- 2 Three Illustrative Examples -- 3 Implementation Issues -- 4 Future Directions for CP Based Branch-and-Price -- References -- Randomized Backtrack Search -- 1 Introduction -- 2 Randomization of Backtrack Search Methods -- 3 Formal Models of Heavy-Tailed Behavior -- 4 Heavy and Fat-Tailed Distributions -- 5 Heavy and Fat-Tailed Distributions in Backtrack Search -- 6 Restart Strategies -- 7 Portfolio Strategies -- 8 Conclusions -- References -- Local Search and Constraint Programming -- LS and CP ilLustrated on a transportation Problem -- 1 Introduction -- 2 A didactic transportation problem -- 3 A CP approach for dTP -- 4 Constructive Algorithms -- 5 LS as Post-Optimization -- 6 Metaheuristics -- 7 LS during construction -- 8 Conclusions -- References -- Open Perspectives -- 1 Motivations, Challenges and Applications -- 2 Transforming Models to Aigorithms -- 3 New Techniques -- 4 New Application Areas -- References.Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.Computer science.Operations research.Decision making.Programming languages (Electronic computers).Computers.Artificial intelligence.Mathematical optimization.Computer Science.Programming Languages, Compilers, Interpreters.Artificial Intelligence (incl. Robotics).Optimization.Theory of Computation.Operation Research/Decision Theory.Springer eBookshttp://dx.doi.org/10.1007/978-1-4419-8917-8URN:ISBN:9781441989178
institution	COLPOS
collection	Koha
country	México
countrycode	MX
component	Bibliográfico
access	En linea En linea
databasecode	cat-colpos
tag	biblioteca
region	America del Norte
libraryname	Departamento de documentación y biblioteca de COLPOS
language	eng
topic	Computer science. Operations research. Decision making. Programming languages (Electronic computers). Computers. Artificial intelligence. Mathematical optimization. Computer Science. Programming Languages, Compilers, Interpreters. Artificial Intelligence (incl. Robotics). Optimization. Theory of Computation. Operation Research/Decision Theory. Computer science. Operations research. Decision making. Programming languages (Electronic computers). Computers. Artificial intelligence. Mathematical optimization. Computer Science. Programming Languages, Compilers, Interpreters. Artificial Intelligence (incl. Robotics). Optimization. Theory of Computation. Operation Research/Decision Theory.
spellingShingle	Computer science. Operations research. Decision making. Programming languages (Electronic computers). Computers. Artificial intelligence. Mathematical optimization. Computer Science. Programming Languages, Compilers, Interpreters. Artificial Intelligence (incl. Robotics). Optimization. Theory of Computation. Operation Research/Decision Theory. Computer science. Operations research. Decision making. Programming languages (Electronic computers). Computers. Artificial intelligence. Mathematical optimization. Computer Science. Programming Languages, Compilers, Interpreters. Artificial Intelligence (incl. Robotics). Optimization. Theory of Computation. Operation Research/Decision Theory. Milano, Michela. editor. SpringerLink (Online service) Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /
description	Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.
format	Texto
topic_facet	Computer science. Operations research. Decision making. Programming languages (Electronic computers). Computers. Artificial intelligence. Mathematical optimization. Computer Science. Programming Languages, Compilers, Interpreters. Artificial Intelligence (incl. Robotics). Optimization. Theory of Computation. Operation Research/Decision Theory.
author	Milano, Michela. editor. SpringerLink (Online service)
author_facet	Milano, Michela. editor. SpringerLink (Online service)
author_sort	Milano, Michela. editor.
title	Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /
title_short	Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /
title_full	Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /
title_fullStr	Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /
title_full_unstemmed	Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /
title_sort	constraint and integer programming [electronic resource] : toward a unified methodology /
publisher	Boston, MA : Springer US : Imprint: Springer,
publishDate	2004
url	http://dx.doi.org/10.1007/978-1-4419-8917-8
work_keys_str_mv	AT milanomichelaeditor constraintandintegerprogrammingelectronicresourcetowardaunifiedmethodology AT springerlinkonlineservice constraintandintegerprogrammingelectronicresourcetowardaunifiedmethodology
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Constraint and Integer Programming [electronic resource] : Toward a Unified Methodology /

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