Evolutionary large-scale multi-objective optimization and applications : integrating evolutionary computation, machine learning, and data science

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Cover image for Evolutionary large-scale multi-objective optimization and applications : integrating evolutionary computation, machine learning, and data science

Title:

Author:

Zhang, Xingyi (Software engineer), author.

ISBN:

9781394178438

9781394178421

9781394178445

Physical Description:

1 online resource : illustrations (some color)

Contents:

Multi-objective evolutionary algorithms and evolutionary large-scale optimization -- Evolutionary large-scale multi-objective optimization -- Evolutionary algorithms for large-scale multi-objective optimization -- Evolutionary algorithms for sparse large-scale multi-objective optimization -- Evolutionary large-scale multi-objective optimization for community detection in complex networks -- Evolutionary large-scale multi-objective optimization in logistics scheduling -- Evolutionary large-scale multi-objective optimization in power systems -- Evolutionary large-scale multi-objective optimization in radiotherapy planning -- Evolutionary large-scale multi-objective optimization in deep learning.

Abstract:

"Multi-objective optimization problems (MOPs) widely exist in scientific research and engineering designs. Evolutionary algorithms (EAs) have shown promising potential in solving various MOPs. However, their performance may deteriorate drastically when tackling problems involving a large number of decision variables, i.e., the large-scale multi-objective optimization problems (LSMOPs). In recent years, increasing efforts have been devoted to addressing the challenges brought by such LSMOPs."-- Provided by publisher.

Local Note:

John Wiley and Sons

Subject Term:

Mathematical optimization.

Evolutionary computation.

Machine learning.

Optimisation mathématique.

Réseaux neuronaux à structure évolutive.

Apprentissage automatique.

Added Author:

Cheng, Ran (Computer scientist),

Tian, Ye (Associate professor),