Team Randopt
Team, Visitors, External Collaborators
Overall Objectives
Scientific Context
Overall Objectives
Research Program
Introduction
Developing Novel Theoretical Frameworks for Analyzing and Designing Adaptive Stochastic Algorithms
Algorithmic developments
Setting novel standards in scientific experimentation and benchmarking
Application Domains
Application Domains
Highlights of the Year
New Software and Platforms
COCO
CMA-ES
Platforms
New Results
Analysis of adaptive Stochastic Optimizers
Benchmarking Methodology
Large-scale Optimization
Constrained Optimization
Bilateral Contracts and Grants with Industry
Bilateral Contracts with Industry
Partnerships and Cooperations
Regional Initiatives
National Initiatives
International Research Visitors
Dissemination
Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization
Bibliography
Publications of the year
References in notes
Inria
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Raweb 2018
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Presentation of the Team RANDOPT
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RANDOPT Web Site
PDF
e-Pub
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Section: Partnerships and Cooperations
Regional Initiatives
PGMO/FMJH project “AESOP: Algorithms for Expensive Simulation-Based Optimization”, 7kEUR, 2017–2019
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