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Benchmarking 2023 : Hybrid Algorithms and Benchmarks in Optimization (Call for Book Chapters)

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Link: https://scholar.google.com.sg/citations?user=fA6aTlAAAAAJ
 
When Mar 1, 2023 - Jul 31, 2023
Where N/A
Abstract Registration Due Dec 15, 2022
Submission Deadline Feb 28, 2023
Notification Due Mar 15, 2023
Final Version Due Mar 31, 2023
Categories    hybrid algorithms   optimization   benchmark   machine learning
 

Call For Papers

Call for Book Chapters on
Hybrid Algorithms and Benchmarks in Optimization

An edited book on Hybrid Algorithms and Benchmarks in Optimization will be published by Springer in 2023
in the Book Series: Springer Tracts in Nature-Inspired Computing
http://www.springer.com/series/16134

We have already received some book chapters. In order to extend the coverage of topics,
we would like to invite researchers/authors to contribute book chapters
in the following areas (but not limited to):

* Hybrid algorithms
* Benchmarks and case studies in optimization
* Analysis of algorithms
* Applications/case studies in science, engineering and industries
* Applications in data mining and machine learning
* Simulation and numerical experiments
* Good code practice and implementations

Interested authors should first contact the Editor at BookEditor.Yang@gmail.com to express interest.
The important deadlines are:

15 Dec 2022: Expression of interest to contribute and Abstract
28 Feb 2023: Full book chapter submission
Summer 2023: Publication of book by Springer

Book Editor:

Dr Xin-She Yang
School of Science and Technology
Middlesex University London, UK

email: BookEditor.Yang@gmail.com [or x.yang (at) mdx.ac.uk ]

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