Constraint programming and decision making:
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham [u.a.]
Springer
2014
|
| Series: | Studies in computational intelligence
539 |
| Subjects: | |
| Online Access: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9783319042800 |
| DOI: | 10.1007/978-3-319-04280-0 |
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Record in the Search Index
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| adam_text | CONSTRAINT PROGRAMMING AND DECISION MAKING
/
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
ALGORITHMICS OF CHECKING WHETHER A MAPPING IS INJECTIVE, SURJECTIVE,
AND/OR BIJECTIVE
SIMPLICITY IS WORSE THAN THEFT: A CONSTRAINT-BASED EXPLANATION OF A
SEEMINGLY COUNTER-INTUITIVE RUSSIAN SAYING
CONTINUOUS IF-THEN STATEMENTS ARE COMPUTABLE
LINEAR PROGRAMMING WITH INTERVAL TYPE-2 FUZZY CONSTRAINTS
EPISTEMIC CONSIDERATIONS ON EXPERT DISAGREEMENT, NORMATIVE
JUSTIFICATION, AND INCONSISTENCY REGARDING MULTI-CRITERIA DECISION
MAKING .-INTERVAL LINEAR PROGRAMMING TECHNIQUES IN CONSTRAINT
PROGRAMMING AND GLOBAL OPTIMIZATION.-SELECTING THE BEST LOCATION FOR A
METEOROLOGICAL TOWER: A CASE STUDY OF MULTI-OBJECTIVE CONSTRAINT
OPTIMIZATION.-GIBBS SAMPLING AS A NATURAL STATISTICAL ANALOG OF
CONSTRAINTS TECHNIQUES: PREDICTION IN SCIENCE UNDER GENERAL
PROBABILISTIC UNCERTAINTY .-WHY TENSORS.-ADDING CONSTRAINTS – A
(SEEMINGLY COUNTERINTUITIVE BUT) USEFUL HEURISTIC IN SOLVING DIFFICULT
PROBLEMS.-UNDER PHYSICS-MOTIVATED CONSTRAINTS, GENERALLY-NON-ALGORITHMIC
COMPUTATIONAL PROBLEMS BECOME ALGORITHMICALLY SOLVABLE
CONSTRAINT-RELATED REINTERPRETATION OF FUNDAMENTAL PHYSICAL EQUATIONS
CAN SERVE AS A BUILT-IN REGULARIZATION
OPTIMIZATION OF THE CHOQUET INTEGRAL USING GENETIC ALGORITHM
OPTIMIZATION OF THE CHOQUET INTEGRAL USING GENETIC ALGORITHM
SCALABLE, PORTABLE, VERIFIABLE KRONECKER PRODUCTS ON MULTI-SCALE
COMPUTERS
RELIABLE AND ROBUST SYNTHESIS OF QFT CONTROLLER USING ICSP
TOWARDS AN EFFICIENT BISECTION OF ELLIPSOIDS
.-AN AUTO-VALIDATING REJECTION SAMPLER FOR DIFFERENTIABLE ARITHMETICAL
EXPRESSIONS: POSTERIOR SAMPLING OF PHYLOGENETIC QUARTETS
GRAPH SUBDIVISION METHODS IN INTERVAL GLOBAL OPTIMIZATION
AN EXTENDED BDI-BASED MODEL FOR HUMAN DECISION-MAKING AND SOCIAL
BEHAVIOR: VARIOUS APPLICATIONS
WHY CURVATURE IN L-CURVE: COMBINING SOFT CONSTRAINTS
SURROGATE MODELS FOR MIXED DISCRETE-CONTINUOUS VARIABLES WHY ELLIPSOID
CONSTRAINTS, ELLIPSOID CLUSTERS, AND RIEMANNIAN SPACE-TIME:
DVORETZKY’S THEOREM REVISITED
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
CONSTRAINT PROGRAMMING AND DECISION MAKING
/
: 2014
ABSTRACT / INHALTSTEXT
IN MANY APPLICATION AREAS, IT IS NECESSARY TO MAKE EFFECTIVE DECISIONS
UNDER CONSTRAINTS. SEVERAL AREA-SPECIFIC TECHNIQUES ARE KNOWN FOR SUCH
DECISION PROBLEMS; HOWEVER, BECAUSE THESE TECHNIQUES ARE AREA-SPECIFIC,
IT IS NOT EASY TO APPLY EACH TECHNIQUE TO OTHER APPLICATIONS AREAS.
CROSS-FERTILIZATION BETWEEN DIFFERENT APPLICATION AREAS IS ONE OF THE
MAIN OBJECTIVES OF THE ANNUAL INTERNATIONAL WORKSHOPS ON CONSTRAINT
PROGRAMMING AND DECISION MAKING. THOSE WORKSHOPS, HELD IN THE US (EL
PASO, TEXAS), IN EUROPE (LYON, FRANCE), AND IN ASIA (NOVOSIBIRSK,
RUSSIA), FROM 2008 TO 2012, HAVE ATTRACTED RESEARCHERS AND PRACTITIONERS
FROM ALL OVER THE WORLD. THIS VOLUME PRESENTS EXTENDED VERSIONS OF
SELECTED PAPERS FROM THOSE WORKSHOPS.THESE PAPERSDEAL WITH ALL
STAGES OF DECISION MAKING UNDER CONSTRAINTS: (1) FORMULATING THE PROBLEM
OF MULTI-CRITERIA DECISION MAKING IN PRECISE TERMS, (2) DETERMINING WHEN
THE CORRESPONDING DECISION PROBLEM IS ALGORITHMICALLY SOLVABLE; (3)
FINDING THE CORRESPONDING ALGORITHMS, AND MAKING THESE ALGORITHMS AS
EFFICIENT AS POSSIBLE; AND (4) TAKING INTO ACCOUNT INTERVAL,
PROBABILISTIC, AND FUZZY UNCERTAINTY INHERENT IN THE CORRESPONDING
DECISION MAKING PROBLEMS. THE RESULTING APPLICATION AREAS INCLUDE
ENVIRONMENTAL STUDIES (SELECTING THE BEST LOCATION FOR A METEOROLOGICAL
TOWER), BIOLOGY (SELECTING THE MOST PROBABLE EVOLUTION HISTORY OF A
SPECIES), AND ENGINEERING (DESIGNING THE BEST CONTROL FOR A MAGNETIC
LEVITATION TRAIN)
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| discipline | Informatik |
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| indexdate | 2025-02-20T06:39:01Z |
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| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Constraint programming and decision making Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Engineering |
| title | Constraint programming and decision making |
| title_auth | Constraint programming and decision making |
| title_exact_search | Constraint programming and decision making |
| title_full | Constraint programming and decision making Martine Ceberio ..., eds. |
| title_fullStr | Constraint programming and decision making Martine Ceberio ..., eds. |
| title_full_unstemmed | Constraint programming and decision making Martine Ceberio ..., eds. |
| title_short | Constraint programming and decision making |
| title_sort | constraint programming and decision making |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Engineering |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Engineering |
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