Concurrency and Computation: Practice and Experience (CC-PE) journal will publish a special issue dedicated to "Multi/many-core computing for parallel metaheuristics". Please submit your contribution to Manuscript Central (https://mc.manuscriptcentral.com/cpe) as ’McM2015’ special issue

PURPOSE AND SCOPE
Plenty of hard problems in a wide range of application areas, including engineering design, telecommunications, logistics, etc. have been modelled 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 with the emergence of multi-core and many-core computing technologies (GPU, MIC, etc.). Indeed, accelerators and coprocessors have powered many parallel and/or distributed environements including high-performance workstations, hybrid clusters among them the top ranked Top500 and Green500 ones, and computational grids and clouds.

The design and implementation of parallel metaheuristics for the above environments raise several issues related in the same time to the characteristics of these hardware execution machines and those of the parallel models of metaheuristics. This special issue 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 multi/many-core computing, and any related issues.

TOPICS INCLUDE (BUT NOT LIMITED TO):
- Parallel models (island, master-worker, multi-start, etc.) for metaheuristics revisited for multi-core and/or many-core (MMC) environments.
- Parallel mechanisms for hybridization of metaheuristics on MMC environments.
- Implementation of parallel metaheuristics on MMC workstations, MMC clusters, MMC grids/clouds, etc. PICT PICT
- Software frameworks for the design and implementation of parallel and/or distributed MMC metaheuristics.
- Computational/theoretical studies reporting results on solving challenging problems using MMC computing.
- Performance metrics for MMC parallel and/or distributed metaheuristics.
- Energy-aware optimization for/with MMC parallel and/or distributed metaheuristics.

IMPORTANT DATES

Submission deadline: July 13, 2015
First round notification (minor/major revision): October 5, 2015
Revision Due: November 2, 2015
Final acceptance notification: December 7, 2015
Publication: First quarter of 2016 (estimated)

Guest Editors

Nouredine Melab - Université Lille 1 / INRIA Lille - Nord Europe / CNRS CRIStAL
Mohand Mezmaz - University of Mons