Skip to main content
Information Science Lab
ISL
Information Science Lab
Main navigation
Home
Projects
People
Principal Investigators
Research Scientists
Postdoctoral Fellows
Students
All Profiles
Alumni
Former Members
Members
Consultants
Visiting Scholars
Research Staff
Events
All Events
Events Calendar
News
Software
Spin-Offs
stochastic algorithm
Stochastic Optimization in Target Positioning and Location-based Applications
Hui Chen, Ph.D. Student (former), Electrical and Computer Engineering
Jul 27, 17:00
-
19:00
KAUST
stochastic algorithm
optimization
Hand Gestures Recognition
This event has been postponed from 20th July to 27th July. Stochastic optimization refers to the minimization/maximization of an objective function in the presence of randomness. The randomness may appear in objective functions, constraints, or optimization methods. It has the advantage of dealing with uncertainties that deterministic optimizers cannot solve or cannot solve efficiently. In this work, we discuss the implementation of stochastic optimization methods in solving target positioning problems and tackling key issues in location-based applications.
