SCOPE, OBJECTIVES AND TOPICS
Plenty of hard problems in a wide range of application areas, including engineering design, telecommunications, logistics, etc. have been modeled and tackled successfully with metaheuristics (evolutionary algorithms, scatter or swarm search, simulated annealing, Tabu search, etc.). Nowadays, optimization problems become increasingly large and complex, forcing the use of parallel computing for their efficient and effective resolution. On the other hand, parallel computing has recently undergone a significant evolution in terms of performance and energy consumption. The design and implementation of parallel metaheuristics raise several issues related in the same time to the characteristics of hardware execution machines and the parallel models of metaheuristics. This session seeks to provide an opportunity for the researchers to present their original contributions on the joint use of advanced (discrete or continuous, single or multi-objective, static or dynamic, deterministic or stochastic, hybrid) optimization methods and distributed and/or parallel computing, and any related issues.
INSTRUCTIONS FOR PAPER SUBMISSIONS
Submission instructions are described here.
Notification of acceptance:
Early registration: September 16, 2016
Conference: October 27-31, 2016
Université Lille 1/INRIA Lille - Nord Europe/CNRS CRIStAL
Phone: +33 3 59 57 78 86
University of Mons
Phone: +32 65 37 46 91
Fax: +32 65 37 46 45