Recent advances in evolutionary multi-objective optimization

This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-andcoming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas con...

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Bibliographic Details
Other Authors Bechikh, Slim (Editor), Datta, Rituparna (Editor), Gupta, Abhishek K. (Editor)
Format Electronic eBook
LanguageEnglish
Published Switzerland : Springer, [2016]
SeriesAdaptation, learning and optimization ; v. 20.
Subjects
Mathematical optimization.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319429786
9783319429779
ISSN1867-4534 ;
Physical Description1 online resource (xii, 179 pages) : illustrations (some color)

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Table of Contents:
  • Multi-objective Optimization: Classical and Evolutionary Approaches
  • Dynamic Multi-objective Optimization using Evolutionary Algorithms: A Survey
  • Evolutionary Bilevel Optimization: An Introduction and Recent Advances
  • Many-objective Optimization using Evolutionary Algorithms: A Survey
  • On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking
  • Practical Applications in Constrained Evolutionary Multi-objective Optimization.

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