Constrained Global Optimization: Algorithms and Applications (Lecture notes in computer science, vol.268) - Softcover

Pardalos, Panos M.

 
9783540180951: Constrained Global Optimization: Algorithms and Applications (Lecture notes in computer science, vol.268)

Inhaltsangabe

Global optimization is concerned with the characterization and computation of global minima or maxima of nonlinear functions. Such problems are widespread in mathematical modeling of real world systems for a very broad range of applications. The applications include economies of scale, fixed charges, allocation and location problems, quadratic assignment and a number of other combinatorial optimization problems. More recently it has been shown that certain aspects of VLSI chip design and database problems can be formulated as constrained global optimization problems with a quadratic objective function. Although standard nonlinear programming algorithms will usually obtain a local minimum to the problem , such a local minimum will only be global when certain conditions are satisfied (such as f and K being convex).

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Über die Autorin bzw. den Autor

Ahmed Imteaj is currently a PhD Candidate and Graduate Assistant at the Knight Foundation School of Computing and Information Sciences, Florida International University, under the supervision of Professor M. Hadi Amini. He is also a research lab member of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab) at Florida International University. His research interests span federated learning, machine learning, internet of things (IoT), smart systems, and Blockchain. He holds a B.Sc. degree in Computer Science and Engineering from Chittagong University of Engineering and Technology (CUET), Bangladesh in 2015. From 2015 to 2018, he worked as a Lecturer at International Islamic University Chittagong (IIUC), Chittagong, Bangladesh. Ahmed's work on federated learning for IoT environments is the recipient of the best paper award from "2019 IEEE Conference on Computational Science & Computational Intelligence" and won the second place at 2021 Florida International University Graduate Student Appreciation Week. He has published more than 30 referred journals and conference papers.
M. Hadi Amini is an Assistant Professor at School of Computing and Information Sciences at Florida International University. He is the director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (www.solidlab.network). He received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2019, where he received his M.Sc. degree in 2015. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. degree from Tarbiat Modares University in 2013, and the B.Sc. degree from Sharif University of Technology in 2011. His research interests include distributed optimization and learning algorithms, distributed computing and intelligence, sensor networks, interdependent networks, and cyber-physical-social resilience. Application domains include smart cities, energy systems, transportation electrification, and healthcare. Prof. Amini is a member of ACM and IEEE, and life member of IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE. He served as President of Carnegie Mellon University Energy Science and Innovation Club; as technical program committee of several IEEE and ACM conferences; and as the lead editor for a book series on ''Sustainable Interdependent Networks'' since 2017. He also serves as Associate Editor of SN Operations Research Forum and International Transactions on Electrical Energy Systems. He has published more than 100 refereed journal and conference papers, and book chapters. He edited/authored six books. He is the recipient of Excellence in Teaching Award from the School of Computing and information Sciences at Florida International University in 2020, the best paper award from 2019 IEEE Conference on Computational Science & Computational Intelligence", best reviewer award from four IEEE Transactions, the best journal paper award in "Journal of Modern Power Systems and Clean Energy", and the dean's honorary award from the President of Sharif University of Technology. (Homepage: www.hadiamini.com Lab website: www.solidlab.network)
Panos M. Pardalos serves as Distinguished Professor of Industrial and Systems Engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor in Industrial & Systems Engineering. He is also an a_liated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the Biomedical Engineering Program. He is also the Director of the Center for Applied Optimization. Dr. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing. He has co-authored and co-edited more tha

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9780387180953: Constrained Global Optimization: Algorithms and Applications (Lecture Notes in Computer Science)

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ISBN 10:  0387180958 ISBN 13:  9780387180953
Softcover