DOLPHIN - 2017 - Annual activity report

DOLPHIN

DOLPHIN - 2017

Team Dolphin

Personnel

Overall Objectives

Presentation

Research Program

Hybrid multi-objective optimization methods
Parallel multi-objective optimization: models and software frameworks

Application Domains

Smart grids
Transportation and logistics
Bioinformatics and Health care

Highlights of the Year

New Software and Platforms

Grid'5000
ParadisEO
VRPsolve
Platform Grid'5000

New Results

Fitness Landscape Analysis for Algorithm Understanding, Selection, Design and Configuration
Multi-objective Demand side management in smart grids
Fractal based-decomposition optimization algorithm
Parallel High-Level Search Heuristics for Single- and Multi-objective Optimization
Large scale GPU-centric optimization

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Publications of the year
References in notes

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Section: Highlights of the Year

Highlights of the Year

Awards

Patent with Beckman & Coulter on Intelligent handling of materials: joint selection and configuration optimization of machines (Prof. E-G. Talbi, S. Faramarzi-oghani, M. Bué)
Best student paper award at conference SEAL'2017

Best Paper Award:

[27]

J. Shi, Q. Zhang, B. Derbel, A. Liefooghe, S. Verel.

Using Parallel Strategies to Speed Up Pareto Local Search, in: 11th International Conference on Simulated Evolution and Learning (SEAL 2017), Shenzhen, China, Lecture Notes in Computer Science, November 2017.

https://hal.archives-ouvertes.fr/hal-01581257

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