Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
The increasing complexity of real-world optimization problems raises new challenges to
evolutionary computation. Responding to these challenges, distributed evolutionary …
evolutionary computation. Responding to these challenges, distributed evolutionary …
Parallel metaheuristics: recent advances and new trends
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 …
and needs that researchers have been encountering. In the last decade, new models of …
Faiot: Towards building a forensics aware eco system for the internet of things
The Internet of Things (IoT) involves numerous connected smart things with different
technologies and communication standards. While IoT opens new opportunities in various …
technologies and communication standards. While IoT opens new opportunities in various …
Optimal speckle reduction in polarimetric SAR imagery
LM Novak, MC Burl - Twenty-Second Asilomar Conference on …, 1988 - ieeexplore.ieee.org
Speckle is a major cause of degradation in synthetic aperture radar (SAR) imagery. With the
availability of fully polarimetric, high-resolu tion SAR data, it is possible to use the three …
availability of fully polarimetric, high-resolu tion SAR data, it is possible to use the three …
Scaling genetic algorithms using mapreduce
Genetic algorithms (GAs) are increasingly being applied to large scale problems. The
traditional MPI-based parallel GAs require detailed knowledge about machine architecture …
traditional MPI-based parallel GAs require detailed knowledge about machine architecture …
MapReduce as a programming model for association rules algorithm on Hadoop
XY Yang, Z Liu, Y Fu - The 3rd international conference on …, 2010 - ieeexplore.ieee.org
As association rules widely used, it needs to study many problems, one of which is the
generally larger and multi-dimensional datasets, and the rapid growth of the mount of data …
generally larger and multi-dimensional datasets, and the rapid growth of the mount of data …
[PDF][PDF] MapReduce 大数据处理平台与算法研究进展
宋杰, 孙宗哲, 毛克明, 鲍玉斌, 于戈 - 软件学报, 2018 - jos.org.cn
综述了近年来基于MapReduce 编程模型的大数据处理平台与算法的研究进展. 首先介绍了12
个典型的基于MapReduce 的大数据处理平台, 分析对比它们的实现原理和适用场景 …
个典型的基于MapReduce 的大数据处理平台, 分析对比它们的实现原理和适用场景 …
MapReduce and its applications, challenges, and architecture: a comprehensive review and directions for future research
SN Khezr, NJ Navimipour - Journal of Grid Computing, 2017 - Springer
Profound attention to MapReduce framework has been caught by many different areas. It is
presently a practical model for data-intensive applications due to its simple interface of …
presently a practical model for data-intensive applications due to its simple interface of …
A parallel genetic algorithm based on hadoop mapreduce for the automatic generation of junit test suites
Software testing represents one of the most explored fields of application of Search-Based
techniques and a range of testing problems have been successfully addressed using …
techniques and a range of testing problems have been successfully addressed using …
Speed up genetic algorithms in the cloud using software containers
P Salza, F Ferrucci - Future Generation Computer Systems, 2019 - Elsevier
Scalability issues might prevent Genetic Algorithms from being applied to real world
problems. Exploiting parallelisation in the cloud might be an affordable approach to getting …
problems. Exploiting parallelisation in the cloud might be an affordable approach to getting …