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...

Ful tanımlama

Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Bechikh, Slim (Editör), Datta, Rituparna (Editör), Gupta, Abhishek (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Adaptation, Learning, and Optimization, 20
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • 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.

Benzer Materyaller