PDCO 2019 Program
Monday 20 May 2019
8:20 – 8:30 AM , Workshop Opening
Grégoire Danoy and Didier El Baz, Workshop Chairs
8:30 – 9:30 AM, Session I: Parallel methods and metaheuristics
A GP hyper-heuristic approach for generating TSP heuristics (PDCO-01),
Gabriel Duflo, Emmanuel Kieffer, Matthias R. Brust, Gregoire Danoy and Pascal Bouvry.
An Easy Way to Build Parallel State-of-the-art Combinatorial Optimization Problem Solvers: A Computational Study on Solving Steiner Tree Problems and Mixed Integer Semidefinite Programs by using ug[SCIP-*,*]-libraries (PDCO-02),
Yuji Shinano, Daniel Rehfeldt and Tristan Gally.
9:30 – 10:00 AM, Morning break
10:00 – 11:00 AM, Session II: Parallel methods and applications
Parallel Clustering Search applied to Capacitated Centered Clustering Problem (PDCO-03),
Davi Melo Morales, Antonio Augusto Chaves and Alvaro Fazenda.
Optimal Batch Plants Design on Parallel Systems: A Comparative Study (PDCO-04),
Andrey Borisenko and Sergei Gorlatch.
11:00 – 12:00 AM, Keynote Session
Optimization problems in the presence of failures on large-scale parallel systems
Anne Benoît
12:00 – 1:30 PM, Lunch Break
1:30 – 3:00 PM, Session III: Distributed computing and optimization
Intelligent Control Navigation Emerging on Multiple Mobile Robots Applying Social Wound Treatment (PDCO-05),
Hiram Ponce and Paulo Vitor C. Souza.
Data Reliability and Redundancy Optimization of a Secure Multi-Cloud Storage Under Uncertainty of Errors and Falsifications (PDCO-06),
Andrei Tchernykh, Mikhail Babenko, Viktor Kuchukov, Vanessa Miranda-López, Arutyun Avetisyan, Raul Rivera-Rodriguez and Gleb Radchenko.
Efficiently Computing the Power Set in a Parallel Environment (PDCO-08),
Roger L Goodwin.
3:00 – 3:05 PM, Concluding Remarks
3:05 – 3:30 PM, Coffee Break
