NEO 2015
Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico
Editors: Schuetze, O., Trujillo, L., Legrand, P., Maldonado, Y. (Eds.)
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- Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at Sept. 23-25 2015 in Tijuana, Mexico
- Written by experts in the field
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- About this book
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This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others.
The goal of the NEO workshop series is to bring together people from these and related fields to discuss, compare and merge their complimentary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. Through this effort, we believe that the NEO can promote the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect us all such as health care, smart cities, big data, among many others. The extended papers the NEO 2015 that comprise this book make a contribution to this goal.
- Table of contents (17 chapters)
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An Introduction to Geometric Semantic Genetic Programming
Pages 3-42
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Semantic Genetic Programming for Sentiment Analysis
Pages 43-65
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Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA
Pages 67-88
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Automatic Random Tree Generator on FPGA
Pages 89-104
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Approximation Algorithms for a Mixed Postman Problem with Restrictions on the Arcs
Pages 107-120
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Table of contents (17 chapters)
- Download Preface 1 PDF (69.5 KB)
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- Download Table of contents PDF (58.3 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- NEO 2015
- Book Subtitle
- Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico
- Editors
-
- Oliver Schuetze
- Leonardo Trujillo
- Pierrick Legrand
- Yazmin Maldonado
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 663
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-44003-3
- DOI
- 10.1007/978-3-319-44003-3
- Hardcover ISBN
- 978-3-319-44002-6
- Softcover ISBN
- 978-3-319-82957-9
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XVI, 444
- Number of Illustrations
- 91 b/w illustrations, 107 illustrations in colour
- Topics
