Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10173)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: EMO 2017.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (46 papers)
Other volumes
-
Evolutionary Multi-Criterion Optimization
Keywords
- big data
- evolutionary algorithms
- machine learning
- numeric computing
- parallel computing
- algorithm analysis and problem complexity
- artificial intelligence
- cluster analysis
- combinatoric problems
- computer applications
- evolutionary computation
- expert knowledge integration
- hybrid optimization
- model-based optimization
- multi-criteria decision making
- multi-objective optimization
- performance evaluation
- quality of service
- randomized search heuristics
- visualization
About this book
The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.
Editors and Affiliations
Bibliographic Information
Book Title: Evolutionary Multi-Criterion Optimization
Book Subtitle: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings
Editors: Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-54157-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-54156-3Published: 19 February 2017
eBook ISBN: 978-3-319-54157-0Published: 17 February 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 702
Number of Illustrations: 267 b/w illustrations
Topics: Numeric Computing, Algorithm Analysis and Problem Complexity, Models and Principles, Artificial Intelligence, Computer Communication Networks