The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-531
Full Name: Kalaichelvan Deeba
Position: Associate Professor
Age: ON
Sex: Female
Address: Kalaignar Karunanidhi Institute of Technology, Coimbatore
Country: INDIA
Tel: 0422-2579222
Tel prefix:
Fax:
E-mail address: deeba.senthil@gmail.com
Other E-mails: srssenthil@gmail.com
Title of the Paper: On Performance Analysis of Hybrid Algorithm (Improved PSO with Simulated Annealing) with GA, PSO for Multiprocessor Job Scheduling
Authors as they appear in the Paper: K Thanushkodi, K Deeba
Email addresses of all the authors: thanush12@gmail.com
Number of paper pages: 14
Abstract: Particle Swarm Optimization is currently employed in several optimization and search problems due its ease and ability to find solutions successfully. A variant of PSO, called as Improved PSO has been developed in this paper and is hybridized with the simulated annealing approach to achieve better solutions. The hybrid technique has been employed, inorder to improve the performance of improved PSO. This paper shows the application of hybrid improved PSO in Scheduling multiprocessor tasks. A comparative performance study is reported. It is observed that the proposed hybrid approach gives better solution in solving multiprocessor job scheduling.
Keywords: PSO, Improved PSO, Simulated Annealing, Hybrid Improved PSO, Job Scheduling, Finishing time, waiting time
EXTENSION of the file: .doc
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How Did you learn about congress: Scheduling of jobs in Multiproccessors
IP ADDRESS: 115.241.39.198
