Probability collectives: a distributed multi-agent system approach for optimization
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham [u.a.]
Springer
2015
|
| Series: | Intelligent systems reference library
86 |
| Subjects: | |
| Online Access: | BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract Inhaltsverzeichnis |
| Physical Description: | 1 Online-Ressource (IX, 157 p. 68 illus) |
| ISBN: | 9783319160009 |
| DOI: | 10.1007/978-3-319-16000-9 |
Staff View
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Record in the Search Index
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| adam_text | PROBABILITY COLLECTIVES
/ KULKARNI, ANAND JAYANT
: 2015
ABSTRACT / INHALTSTEXT
THIS BOOK PROVIDES AN EMERGING COMPUTATIONAL INTELLIGENCE TOOL IN THE
FRAMEWORK OF COLLECTIVE INTELLIGENCE FOR MODELING AND CONTROLLING
DISTRIBUTED MULTI-AGENT SYSTEMS REFERRED TO AS PROBABILITY COLLECTIVES.
IN THE MODIFIED PROBABILITY COLLECTIVES METHODOLOGY A NUMBER OF
CONSTRAINT HANDLING TECHNIQUES ARE INCORPORATED, WHICH ALSO REDUCES THE
COMPUTATIONAL COMPLEXITY AND IMPROVED THE CONVERGENCE AND EFFICIENCY.
NUMEROUS EXAMPLES AND REAL WORLD PROBLEMS ARE USED FOR ILLUSTRATION,
WHICH MAY ALSO ALLOW THE READER TO GAIN FURTHER INSIGHT INTO THE
ASSOCIATED CONCEPTS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
PROBABILITY COLLECTIVES
/ KULKARNI, ANAND JAYANT
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION TO OPTIMIZATION
PROBABILITY COLLECTIVES: A DISTRIBUTED OPTIMIZATION APPROACH
CONSTRAINED PROBABILITY COLLECTIVES: A HEURISTIC APPROACH
CONSTRAINED PROBABILITY COLLECTIVES WITH A PENALTY FUNCTION APPROACH
CONSTRAINED PROBABILITY COLLECTIVES WITH FEASIBILITY-BASED RULE I
PROBABILITY COLLECTIVES FOR DISCRETE AND MIXED VARIABLE PROBLEMS
PROBABILITY COLLECTIVES WITH FEASIBILITY-BASED RULE II.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Kulkarni, Anand Jayant |
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| author_role | aut |
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| author_variant | a j k aj ajk |
| building | Verbundindex |
| bvnumber | BV042387234 |
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| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-319-16000-9 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:51:21Z |
| institution | BVB |
| isbn | 9783319160009 |
| language | English |
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| physical | 1 Online-Ressource (IX, 157 p. 68 illus) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2015 |
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| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Springer |
| record_format | marc |
| series | Intelligent systems reference library |
| series2 | Intelligent systems reference library |
| spellingShingle | Kulkarni, Anand Jayant Probability collectives a distributed multi-agent system approach for optimization Intelligent systems reference library Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity Ingenieurwissenschaften Künstliche Intelligenz |
| title | Probability collectives a distributed multi-agent system approach for optimization |
| title_auth | Probability collectives a distributed multi-agent system approach for optimization |
| title_exact_search | Probability collectives a distributed multi-agent system approach for optimization |
| title_full | Probability collectives a distributed multi-agent system approach for optimization Anand Jayant Kulkarni ; Kang Tai ; Kang Tai |
| title_fullStr | Probability collectives a distributed multi-agent system approach for optimization Anand Jayant Kulkarni ; Kang Tai ; Kang Tai |
| title_full_unstemmed | Probability collectives a distributed multi-agent system approach for optimization Anand Jayant Kulkarni ; Kang Tai ; Kang Tai |
| title_short | Probability collectives |
| title_sort | probability collectives a distributed multi agent system approach for optimization |
| title_sub | a distributed multi-agent system approach for optimization |
| topic | Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity Ingenieurwissenschaften Künstliche Intelligenz |
| topic_facet | Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity Ingenieurwissenschaften Künstliche Intelligenz |
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