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