Evolutionary Multi-Objective System Design (eBook, PDF)

Theory and Applications
Redaktion: Nedjah, Nadia; Lopes, Heitor Silverio; De Macedo Mourelle, Luiza

• Format: PDF

Produktbeschreibung

Evolutionary multi-objective optimization (EMO) has emerged as a sub-discipline of multi-objective optimization, combining the fields of evolutionary computation and classical multiple criteria decision making. This field has applications in artificial intelligence, machine learning, and data mining. This book will present new trends, methods, algorithms, and applications in EMO for system design, featuring contributions from leading experts.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 242
• Erscheinungstermin: 15. Juli 2020
• Englisch
• ISBN-13: 9781498780292
• Artikelnr.: 59839942

Autorenporträt

Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes

Inhaltsangabe

Embrittlement of Stainless Steel Coated Electrodes. Learning Fuzzy Rules
from Imbalanced Datasets using Multi-objective Evolutionary Algorithms.
Hybrid Multi-Objective Evolutionary Algorithms with Collective
Intelligence. Multiobjective Particle Swarm Optimization Fuzzy Gain
Scheduling Control. Multiobjective evolutionary algorithms for smart
placement. Solving Multi-Objective Problems with MOEA/D and Quasi-Simplex
Local Search. Multi-objective Evolutionary Design of Robust Substitution
Boxes. Multi-objective approach to the Protein Structure Prediction
Problem. Multi-objective IP Assignment for Efficient NoC-based System
Design.