期刊
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
卷 20, 期 1, 页码 1-48出版社
WILEY
DOI: 10.1111/j.1475-3995.2012.00862.x
关键词
parallel computing; metaheuristics; analysis of algorithms; communications
资金
- Spanish Ministry of Science and Innovation
- FEDER [TIN2008-06491-C04-01, TIN2011-28194]
- Andalusian Government [P07-TIC-03044]
The field of parallel metaheuristics is continuously evolving as a result of new technologies and needs that researchers have been encountering. In the last decade, new models of algorithms, new hardware for parallel execution/communication, and new challenges in solving complex problems have been making advances in a fast manner. We aim to discuss here on the state of the art, in a summarized manner, to provide a solution to deal with some of the growing topics. These topics include the utilization of classic parallel models in recent platforms (such as grid/cloud architectures and GPU/APU). However, porting existing algorithms to new hardware is not enough as a scientific goal, therefore researchers are looking for new parallel optimization and learning models that are targeted to these new architectures. Also, parallel metaheuristics, such as dynamic optimization and multiobjective problem resolution, have been applied to solve new problem domains in past years. In this article, we review these recent research areas in connection to parallel metaheuristics, as well as we identify future trends and possible open research lines for groups and PhD students.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据