Workshop on Parallel Metaheuristics (PAM’2016)


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.

  • The workshop topics include (but are not limited to) the following:
  • Parallel models (island, master-worker, multi-start, etc.) for metaheuristics revisited for multi-core processors/clusters, GPU accelerators, MIC coprocessors, clouds, etc. 
  • Parallel mechanisms for hybridization of optimization algorithms on parallel modern hardware platforms.
  • Parallel strategies for handling uncertainty, robustness and dynamic nature using metaheuristics.
  • Implementation issues of parallel metaheuristics on multi-core processors/clusters, GPU accelerators, MIC coprocessors, grids/clouds, etc. 
  • Software frameworks for the design and implementation of parallel and/or distributed metaheuristics.
  • Computational/theoretical studies reporting results on solving challenging problems using metaheuristics.
  • Energy- and thermal-aware optimization for/with parallel and/or distributed metaheuristics.
  • Optimization techniques for scheduling, compiling, auto-tuning for multi-core processors/clusters, GPU accelerators, MIC coprocessors, grids/clouds, etc.


Submission instructions are described here


Submission deadline: May 6, 2016 June 26, 2016
Notification of acceptance: June 3, 2016 July 15, 2016
Early registration: September 16, 2016
Conference: October 27-31, 2016  


Nouredine Melab
Université Lille 1/INRIA Lille - Nord Europe/CNRS CRIStAL
Lille, France
Phone: +33 3 59 57 78 86 

Mohand Mezmaz
University of Mons
Phone: +32 65 37 46 91
Fax: +32 65 37 46 45