Cover image for Evolutionary Multi-Task Optimization Foundations and Methodologies
Title:
Evolutionary Multi-Task Optimization Foundations and Methodologies
Author:
Feng, Liang. author.
ISBN:
9789811956508
Edition:
1st ed. 2023.
Physical Description:
X, 219 p. 1 illus. online resource.
Series:
Machine Learning: Foundations, Methodologies, and Applications,
Contents:
Chapter 1.Introduction -- Chapter 2. Overview and Application-driven Motivations of Evolutionary Multitasking -- Chapter 3.The Multi-factorial Evolutionary Algorithm -- Chapter 4. Multi-factorial Evolutionary Algorithm with Adaptive Knowledge Transfer -- Chapter 5.Explicit Evolutionary Multi-task Optimization Algorithm -- Chapter 6.Evolutionary Multi-task Optimization for Generalized Vehicle Routing Problem With Occasional Drivers -- Chapter 7. Explicit Evolutionary Multi-task Optimization for Capacitated Vehicle Routing Problem -- Chapter 8. Multi-Space Evolutionary Search for Large Scale Single-Objective Optimization -- Chapter 9.Multi-Space Evolutionary Search for Large-scale Multi-Objective Optimization.
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