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�������ƣ�Ӣ�ģ��� The First World Congress on Global Optimization in Engineering & Science (WCGO2009)
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 2009-5-1
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���鱳�����ܣ� Global optimization is a multi-disciplinary research field that deals with the characterization and computation of global minima and/or maxima of nonlinear, nonconvex, nonsmooth and discrete functions. Global optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including aerospace and civil engineering, chemical and process engineering, computational biology and bioinformatics, computational materials science, clustering and pattern recognition, computer vision and robotics, cryptography and data mining, electrical and control engineering,  information and technology management, industrial and systems engineering, communication and information network design, intelligent information and security, management science and operations research, mathematical economics and financial engineering, mechanical and structural engineering, neuroscience and cognition,  refining and petrochemicals, reliability and quality engineering, signal and image processing, tomography and seismic optimization, production planning and scheduling, transportation and logistics, etc.
With the rapid development and deployment of practical global optimization methodologies in the last thirty years, more and more scientists in diverse disciplines have been using global optimization techniques and algorithms to solve their respective problems. Global optimization is playing a pivoting role in the development of modern engineering and sciences. The field has become mature enough to call for the establishment of a world congress. 
���ķ�Χ��Ҫ�� The World Congress solicitously invites original contributions on all relevant topics related to Global Optimization in Engineering & Science, include (but not limited to)

Automatic Differentiation
Integer Programming, Combinatorial Optimization
Chaotic Systems
Complementarity Problems
Concave Minimization Programming
Constraint Satisfaction
DC programming
Dynamic Programming
Exact Penalty Techniques and Error Bound Analysis
Fuzzy Optimization and Soft Computing
Game Theory
Generalized Convexity
Heuristic and/or Meta-Heuristic Methods
Interior Point Methods
Inverse and Ill-posed Problems
Machine Learning, SVM
Mathematical Programs with Equilibrium Constraints
Monotonic Optimization
Multi-level and Multi-objective Optimization
Network Optimization
Neural Networks and Pattern Recognition
Computer Vision and Machine Intelligence
Nonconvex and Nonsmooth Mechanics
Nonconvex Quadratic Programming
Multilevel Programming
Nonlinear Programming
Nonsmooth Optimization
Optimal Control
PDE Level Set Methods
Polynomial Optimization
Reformulation Techniques
Robust Optimization
Semi-definite Programming
Shape Optimization
Statistical Learning and Kernel Methods
Stochastic Optimization
Semi-infinte Programming
Variational Inequalities
Variational Methods for PDE
Managerial and Business Applications
Engineering and Industrial Applications
Biological Systems and Applications
Health Care Systems and Applications
Scientific Applications
 
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