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Particle Swarm Optimizer and Multi-Objective Optimization

by Feng Pan , Qi Gao , Xiao-Xue Feng
Save 17% Save 17%
Current price ₹10,266.00
Original price ₹12,320.00
Original price ₹12,320.00
Original price ₹12,320.00
(-17%)
₹10,266.00
Current price ₹10,266.00

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Book cover type: Hardcover
  • ISBN13: 9789819533800
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 228
  • Original Price: USD 99.99
  • Language: English
  • Edition: N/A
  • Item Weight: 472 grams
  • BISAC Subject(s): Artificial Intelligence / General

Feng Pan, Associate Professor in the School of Automation, Beijing Institute of Technology. He received his B.S. and Ph.D. degrees from the Beijing Institute of Technology, Beijing, China, in 2000 and 2005, respectively. In 2007, he served as a Postdoctoral Researcher at Indiana University-Purdue University Indianapolis, USA. He is currently a council member of the Chinese Association for Artificial Intelligence (CAAI) and the Chinese Society of Educational Development Strategy (CSEDS). He has been selected for the Beijing "Young Talent Plan" and Yunnan Province's "Yunling Talent Plan." He research interests include computational intelligence and optimization techniques, edge computing and artificial intelligence.

Qi Gao, Associate Professor in the School of Automation and Associate Director of the Center for Enhanced Learning and Teaching (CELT) at Beijing Institute of Technology. He is a Fellow of the International Society for the Scholarship of Teaching and Learning (ISSOTL) and a member of the Academic Committee of the Chinese Higher Education Development Network (CHED). His research interests include pattern recognition and complex networks.

Xiaoxue Feng, Associate Professor in the School of Automation, Beijing Institute of Technology. She received her B.S. and Ph.D. degrees in Control Science and Engineering from Northwestern Polytechnical University, Xi'an, China, in 2010 and 2015, respectively. Her research interests include multi-sensor data fusion technology, target detection, tracking, and recognition.

Li Weixing, Associate Professor in the School of Automation, Beijing Institute of Technology.He is mainly engaged in the practical teaching of intelligent control theory. His research interests include deep learning and object detection, optimization algorithms and applications.

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