29. President of scientific associationaimed to promote and favour raising of numerical optimization and modern programming technologies in France as well as at the international level
31. 200h Teaching Global Optimization Exploratory Data Analysis Random Number Generators Artificial Neural Networks Fuzzy Logic Classification methods Support Vector Machine 10 mini missions 1st year AssistantProfessor 96h Master Info TD DEUG MIAS TD/TP Advanced algorithms : Linear Programming Simplex, IPM Programming in C Associate Professor 60h 3 x 175h Simulation ApproximationBenchmarking Administration of the Enterprise Market Analysis Innovative products creation 3 mini missions 2nd year 3 long projects 2nd, 3d et 4th years ProjectDirector
35. Numerical Optimization Aiming at the best is one of the most fundamental traits of intelligence In all activities human beings tend to Maximize Benefit Minimize Inconvenience Math Optimizationis a collection of Powerful Tools (methods & algorithms) for tackling these real-world problems
36. Optimization trends from Exact to from Special to from Local to from Individual to from Tuning to Approximate methods Universal solvers Global solutions Collective intelligence Auto-adaptation action MH All this is included inDifferential Evolution
40. Great break-through in Evolutionary Computation Success of DE resides in the manner of the potential solution creation Intelligent use of differences between current solutions realized in a simple and fast linear operatormakes DE unique Concept of DE is a spontaneousself-adaptability to the function best results
44. self-adaptationx F(x) Black Box + Only 0-order information required !
45. My Contribution to DE Introduction of the Universal Formula of differentiation Classification of the search strategies(random / directed / local / hybrid) Uncovering of the transversal DE species Universalization of the algorithm Development of the energetic selection approach Hybridization DE with regression methods (SVM) Suggestion of new algorithm performance measures Analysis and generalization of some other methods via DE Application in decision making and engineering design
47. How does it work ? The simplest example of Differentiation And its general form
48. - Philosophy Changing - 3 levels of improvement - Search Strategies - Differentiation Analysis - Transversal DE - Some Analogy - Energetic Selection - SVM Hybrid DE Inside ofDifferential Evolution
49. DE discovers the best solutions Engineering design Scheduling Control Decision-making Image processing Neural networksand Fuzzy systems Chemical engineering and Biosystems Bioinformatics, Computational chemistry and Molecular biology
50. I solved 2 challenges with DE 2. Engineering design “Bump” – a very hard aeronautical benchmark 1. Decision-making Identification withthe Choquet Integral Best-known Results !!!
60. VitaEVOLUTION SDK Advantages : Software independent 3D visualization included Flexible, multi language Extensible for new algorithms Modular for extra packages Use modern technology Has real-world examples Reliable in use Full traceability of actions Surety of results High-quality code Flexible reporting services Compatibility with industrial std Creativity, multi GUI Rapid getting-started Easy and fast programming Warranty service assured and many others …
61. Web Platform VitaSCIENCES From communication tools toworld lead reference in metaheuristics Standard Library Algorithms & Problems ComputingInterface Problems Algorithms Communication Tools
![Education and Competences AssociateProfessor Ph.D.Computer Science Systems Engineer Microsoft Certified Developer Paris Sud UniversityOrsay (France) MoscowMicrosoftTraining Centre“Specialist”(Russia) Ecole des Mines de Paris (France) Moscow State Technical Universityof Bauman (Russia) ,[object Object]](https://image.slidesharecdn.com/fva-124933083115-phpapp02/85/Presentation-1-320.jpg)
