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Applications of Ant Colony Optimization and its Variants -

Applications of Ant Colony Optimization and its Variants

Case Studies and New Developments

Nilanjan Dey (Herausgeber)

Buch | Hardcover
229 Seiten
2024 | 1st ed. 2024
Springer Verlag, Singapore
978-981-99-7226-5 (ISBN)
CHF 239,65 inkl. MwSt
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This book explains the basic ideas behind several variants of ant colony optimization (ACO) and shows how they may be used in real-world settings like manufacturing, engineering design, and health care. Marco Dorigo proposed ACO for the first time, and it has been used to solve a variety of optimization problems. This book presents the latest developments of ACO.

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.

Ant Colony Optimization.- Advancements in Rank-based Ant System.- Exploring Ant Colony Optimization for Feature Selection: A Comprehensive Review.- Diagnosis Support for Diabetes with Ant Colony Optimization.- Opposed Pheromones Ant Colony Optimization for Property Identification of Nonlinear Structures.

Erscheinungsdatum
Reihe/Serie Springer Tracts in Nature-Inspired Computing
Zusatzinfo 68 Illustrations, color; 19 Illustrations, black and white; IX, 229 p. 87 illus., 68 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Technik
Schlagworte ant colony optimization • combinatorial optimization • Hierarchical Heterogeneous ACO • meta-heuristics • Nature-Inspired Computing • Optimization
ISBN-10 981-99-7226-4 / 9819972264
ISBN-13 978-981-99-7226-5 / 9789819972265
Zustand Neuware
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