Recent Advances in Evolutionary Multi-objective Optimization

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bechikh, Slim (Επιμελητής έκδοσης), Datta, Rituparna (Επιμελητής έκδοσης), Gupta, Abhishek (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Adaptation, Learning, and Optimization, 20
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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.