Special Issue on Advances in Parallel and Distributed Combinatorial Optimization

摘要

In the last few years, we have experienced a major change in computing towards parallelism. The physical limits of integrated circuits being reached, computing performance now keep Moore's law thanks to the replication of components. The default computer is nowadays a parallel machine. In this scenario, parallelism is a must in any modern software in order to make an effective use of the available resources. This special issue compiles 17 outstanding research articles, targeting some of the main recent trends and designs in parallel and distributed computing for solving hard optimization problems. Hot topics as scheduling problems, urban transport, multi- and many-objectives optimization, or cloud-computing related problems are addressed in the papers in this special issue. Additionally, a number of different shared- and distributed-memory parallel techniques have been studied and analyzed, for architectures as general purpose GPUs, Intel Xeon Phi, multi-core processors, clusters, or the cloud.