Hybrid real-coded genetic algorithm for data partitioning in multi-round load distribution and scheduling in heterogeneous systems
Authors:
- S. SureshSSS. Suresh
- Hao HuangHHHao Huang
- H.J. KimHKH.J. Kim
- 1 November 2014
- journal article
- Published by Elsevier in Applied Soft Computing
- Vol. 24, 500-510
Abstract
No abstract availableThis publication has 41 references indexed in Scilit:
- Grey particle swarm optimizationApplied Soft Computing, 2012
- Particle swarm optimization approach for multi-objective composite box-beam designComposite Structures, 2007
- Multi‐installment divisible load processing in heterogeneous distributed systemsConcurrency and Computation: Practice and Experience, 2007
- Wireless sensor networks: scheduling for measurement and data reportingIEEE Transactions on Aerospace and Electronic Systems, 2006
- Scheduling strategies for master-slave tasking on heterogeneous processor platformsIEEE Transactions on Parallel and Distributed Systems, 2004
- Research feature - Ten reasons to use divisible load theoryComputer, 2003
- An empirical study on the synergy of multiple crossover operatorsIEEE Transactions on Evolutionary Computation, 2002
- On the influence of start-up costs in scheduling divisible loads on bus networksIEEE Transactions on Parallel and Distributed Systems, 2000
- Efficient partitioning and scheduling of computer vision and image processing data on bus networks using divisible load analysisImage and Vision Computing, 2000
- Parallel processor configuration design with processing/transmission costsIEEE Transactions on Computers, 2000