On the occasion of the International Conference OIPE 2016, the School "F. Gasparini " organizes a free of charge educational event addressed to students of PhD courses and young professionals interested in the topic of optimization.
The spirit and purpose of the School are recalled in the appendix.
Intensive Course and Tutorial
(Rome, 12 September 2016)
Stochastic Optimization and Nature-Inspired Algorithms for Electrical Engineering Problems
Université de Toulouse, INPT-ENSEEIHT/LAPLACE France
The course presents the state of the art of stochastic optimization and nature inspired algorithms with a particular focus on advanced techniques in evolutionary computation
Site of the Didactic Activity (new)
Lectures will be given at Engineering Department, Via Vito Volterra 62, Rome, Italy, Sala Multimediale (3rd floor, #3.08).
Tutorials will be given at Engineering Department, Via della Vasca Navale 81, Rome, Italy, Campus One (5 minutes walk)
Participants will receive free coffee breaks and lunch
Lectures will be given according to the following schedule
Program and Teaching Supports
Content of the lectures
Introduction to stochastic optimization
Generating random number distributions in stochastic optimization methods
Classification of stochastic optimization methods
Basic methods: simplest but poorly efficient approaches
Uniform sampling of the search space
Classical random walk method (without or with direction exploitation)
The simple Genetic Algorithm
Principle of Darwinian evolution
The basic GA algorithm
Variation operators according to the solution representation
Selection and replacement schemes in the standard GA
Advanced techniques in Genetic Algorithms and Evolutionary Computation
Introduction to Niching in evolutionary algorithms
Application to multiobjective evolutionary algorithms
Self-adaptation in evolutionary algorithms
Using variable-length chromosomes to solve complex optimization problems
Particle Swarm Optimization
Content of the tutorial
Shape optimization of a capacitor profile using the charge simulation method
Problem definition: benchmark originality and features
Application of optimization methods to this benchmark: classical gradient-based algorithms of the Matlab Optimization Toolbox,
deterministic direct search methods and stochastic optimization approaches developed in the lecture
All intersted PhD Students must fill the registration form available here or in downloads area and mail it at email@example.com
within 15th August 2016 with in object: PhD School registration - (name,surname).
the International Journal Compel will award a best paper prize for a paper
presented by a young researcher (In this case, at least one author must be regularly registered as
Student to make his paper a valid candidate for the prize).
Please, visit the dedicated area in the main Menu.
© Optimization and Inverse Problems in Electromagnetism 2016 | Chairman IEEE OIPE 2016: Prof. Alessandro Salvini | WebAdmin: Paolo Carbone