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
Corporate Author: SpringerLink (Online service)
Other Authors: Bechikh, Slim (Editor), Datta, Rituparna (Editor), Gupta, Abhishek (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Adaptation, Learning, and Optimization, 20
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
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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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