Special Issue on: “Parallel/Distributed Combinatorics and Optimization”
• 大类 : 工程技术 - 2区
• 小类 : 计算机：人工智能 - 2区
• 小类 : 计算机：理论方法 - 2区
The increasing size and complexity of optimization problems has motivated the usage of parallel computing to provide high-quality solutions in reasonable time. On the other hand, parallel computing recent evolution (e.g., multi-core and many-core processors) has made it more affordable while being more performant.
In order to efficiently exploit such computing environments, novel parallel/distributed optimization paradigms have to be designed and new implementations provided.
The purpose of this special issue is to collect the main recent trends and designs in parallel and distributed combinatorics and optimization methods for solving hard optimization problems. Topics of interests include (but are not limited to):
Global optimization, combinatorial optimization, multi-objective optimization, dynamic optimization;
Computational intelligence methods (e.g., evolutionary algorithms, swarm intelligence, ant colonies, cellular automata, DNA and molecular computing)
Peer-to peer computing and optimization problems
Real world applications: e.g., cloud computing, planning, logistics, manufacturing, finance, telecommunications