EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation:
<p>The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. </p><p>The volume encloses a collect...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2013
|
| Series: | Studies in computational intelligence
447 |
| Subjects: | |
| Online Access: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Summary: | <p>The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. </p><p>The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background.</p><p>The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.</p> |
| Item Description: | <b><p>Part I Foundations, probability and evolutionary computation -- <b><p>Part II Set oriented numerics -- <b><p>Part III Landscape, coevolution and cooperation -- <b><p>Part IV Multi-objective optimization, heuristic conversion algorithms.</p></b></p><p></b></p><p></b></p><p></b> |
| Physical Description: | 1 Online-Ressource (XXII, 414 p. 102 illus) |
| ISBN: | 9783642327261 |
| DOI: | 10.1007/978-3-642-32726-1 |
Staff View
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Record in the Search Index
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| adam_text | EVOLVE- A BRIDGE BETWEEN PROBABILITY, SET ORIENTED NUMERICS AND
EVOLUTIONARY COMPUTATION
/
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PART I FOUNDATIONS, PROBABILITY AND EVOLUTIONARY COMPUTATION
PART II SET ORIENTED NUMERICS
PART III LANDSCAPE, COEVOLUTION AND COOPERATION
PART IV MULTI-OBJECTIVE OPTIMIZATION, HEURISTIC CONVERSION ALGORITHMS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
EVOLVE- A BRIDGE BETWEEN PROBABILITY, SET ORIENTED NUMERICS AND
EVOLUTIONARY COMPUTATION
/
: 2013
ABSTRACT / INHALTSTEXT
THE AIM OF THIS BOOK IS TO PROVIDE A STRONG THEORETICAL SUPPORT FOR
UNDERSTANDING AND ANALYZING THE BEHAVIOR OF EVOLUTIONARY ALGORITHMS, AS
WELL AS FOR CREATING A BRIDGE BETWEEN PROBABILITY, SET-ORIENTED NUMERICS
AND EVOLUTIONARY COMPUTATION. THE VOLUME ENCLOSES A COLLECTION OF
CONTRIBUTIONS THAT WERE PRESENTED AT THE EVOLVE 2011 INTERNATIONAL
WORKSHOP, HELD IN LUXEMBOURG, MAY 25-27, 2011, COMING FROM INVITED
SPEAKERS AND ALSO FROM SELECTED REGULAR SUBMISSIONS. THE AIM OF EVOLVE
IS TO UNIFY THE PERSPECTIVES OFFERED BY PROBABILITY, SET ORIENTED
NUMERICS AND EVOLUTIONARY COMPUTATION. EVOLVE FOCUSES ON CHALLENGING
ASPECTS THAT ARISE AT THE PASSAGE FROM THEORY TO NEW PARADIGMS AND
PRACTICE, ELABORATING ON THE FOUNDATIONS OF EVOLUTIONARY ALGORITHMS AND
THEORY-INSPIRED METHODS MERGED WITH CUTTING-EDGE TECHNIQUES THAT ENSURE
PERFORMANCE GUARANTEE FACTORS. EVOLVE IS ALSO INTENDED TO FOSTER A
GROWING INTEREST FOR ROBUST AND EFFICIENT METHODS WITH A SOUND
THEORETICAL BACKGROUND. THE CHAPTERS ENCLOSE CHALLENGING THEORETICAL
FINDINGS, CONCRETE OPTIMIZATION PROBLEMS AS WELL AS NEW PERSPECTIVES. BY
GATHERING CONTRIBUTIONS FROM RESEARCHERS WITH DIFFERENT BACKGROUNDS, THE
BOOK IS EXPECTED TO SET THE BASIS FOR A UNIFIED VIEW AND VOCABULARY
WHERE THEORETICAL ADVANCEMENTS MAY ECHO IN DIFFERENT DOMAINS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
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| dewey-full | 006.3 |
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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 |
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| indexdate | 2025-02-20T07:02:43Z |
| institution | BVB |
| isbn | 9783642327261 |
| language | English |
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| physical | 1 Online-Ressource (XXII, 414 p. 102 illus) |
| psigel | ZDB-2-ENG |
| publishDate | 2013 |
| publishDateSearch | 2013 |
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| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence |
| title | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation |
| title_auth | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation |
| title_exact_search | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation |
| title_full | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation Emilia Tantar ... (eds.) |
| title_fullStr | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation Emilia Tantar ... (eds.) |
| title_full_unstemmed | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation Emilia Tantar ... (eds.) |
| title_short | EVOLVE- a bridge between probability, set oriented numerics and evolutionary computation |
| title_sort | evolve a bridge between probability set oriented numerics and evolutionary computation |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence |
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