Applied Multi-objective Optimization

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Éditeur :

Springer

Paru le : 2024-03-16

The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challengi...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2024-03-16

Pages
170 pages

EAN papier
9789819703524

Auteur(s) du livre


Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research (SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier etc. He is having 35 authored booksand over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.

Caractéristiques détaillées - droits

EAN PDF
9789819703531
Prix
180,19 €
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
6185 Ko
EAN EPUB
9789819703531
Prix
180,19 €
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
20449 Ko

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