

Beschreibung
In recent years global optimization has found applications in many interesting areas of science and technology including molecular biology, chemical equilibrium problems, medical imaging and networks. The collection of papers in this book indicates the diverse...In recent years global optimization has found applications in many interesting areas of science and technology including molecular biology, chemical equilibrium problems, medical imaging and networks. The collection of papers in this book indicates the diverse applicability of global optimization. Furthermore, various algorithmic, theoretical developments and computational studies are presented.
Audience: All researchers and students working in mathematical programming.
Autorentext
Ding-Zhu Du is Professor of Computer Science at the University of Texas at Dallas. For a number of years he was the Editor-in-Chief of the Journal of Combinatorial Optimization and the combinatorial optimization series editor for the SOIA book series. Professor Du is co-editor of the first and second editions of the Handbook of Combinatorial Optimization. He was also co-author (with Pardalos and Wu) of the Kluwer publication "Mathematical Theory of Optimization." Panos M. Pardalos is Distinguished Professor Emeritus 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 affiliated 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 than 30 books, as well as publishing more than 600 journal articles and conference proceedings. Prof. Pardalos is a Fellow of AAAS (American Association for the Advancement of Science), Fellow of American Institute for Medical and Biological Engineering (AIMBE), and EUROPT. He is a Distinguished International Professor by the Chinese Minister of Education; Honorary Professor of Anhui University of Sciences and Technology, China; Elizabeth Wood Dunlevie Honors Term Professor; Honorary Doctor, V.M. Glushkov Institute of Cybernetics of The National Academy of Sciences of Ukraine; Foreign Associate Member of Reial Academia de Doctors, Spain; and Advisory board member of the Centre for Optimisation and Its Applications, Cardiff University, UK. He is also the recipient of UF 2009 International Educator Award; Medal (in recognition of broad contributions in science and engineering) of the University of Catani, Italy; EURO Gold Medal (EGM); Honorary Doctor of Science Degree, Wilfrid Laurier University, Canada; Senior Fulbright Specialist Award; University of Florida Research Foundation Professorship; and IBM Achievement Award.Xiaodong Hu is a research professor at the Institute of Applied Mathematics, Chinese Academy of Sciences. He was the president of OR society of China a few year ago. His research interests include combinatorial optimization, and approximation algorithms, to name just two.Weili Wu is pra ofessor of computer science at the University of Texas at Dallas. Her research interests include optimization theory, big data management and analysis, social networks, database systems, and wireless sensor networks, to name just several. She has published more than200 journal papers and 100 conference papers. Especially, she made several influential contributions in the study of wireless sensor networks, which are accumulated in a Springer publication "Optimal Coverage in Wireless Sensor Networks".
Inhalt
NOP A Compact Input Format for Nonlinear Optimization Problems.- GLOPT A Program for Constrained Global Optimization.- Global Optimization for Imprecise Problems.- New Results on Gap-Treating Techniques in Extended Interval Newton Gauss-Seidel Steps for Global Optimization.- Quadratic Programming with Box Constraints.- Evolutionary Approach to the Maximum Clique Problem: Empirical Evidence on a Larger Scale.- Interval and Bounding Hessians.- On Global Search for Non-Convex Optimal Control Problems.- A Multistart Linkage Algorithm Using First Derivatives.- Convergence Speed of an Integral Method for Computing the Essential Supremum.- Complexity Analysis Integrating Pure Adaptive Search (PAS) and Pure Random Search (PRS).- LGO A Program System for Continuous and Lipschitz Global Optimization.- A Method Using Local Tuning for Minimizing Functions with Lipschitz Derivatives.- Molecular Structure Prediction by Global Optimization.- Optimal Renewal Policy for Slowly Degrading Systems.- Numerical Prediction of Crystal Structures by Simulated Annealing.- Multidimensional Optimization in Image Reconstruction from Projections.- Greedy Randomized Adaptive Search for a Location Problem with Economies of Scale.- An Algorithm for Improving the Bounding Procedure in Solving Process Network Synthesis by a B&B Method.
20%
