Multimedia Task Scheduling using Proportion-based Genetic Algorithm
スポンサーリンク
概要
- 論文の詳細を見る
In this paper, we propose a new tasks scheduling algorithm for multimedia task. Multimedia task is typical task of soft real-time system which deadline missing is allowed in. The objective of proposed scheduling algorithm is to minimize the weighted sum of variance of deadline missing and the total number of context switching among tasks. We use proportion-based genetic algorithm for this objective. The effectiveness of the proposed algorithm is shown through a simulation study.
- 社団法人 電気学会の論文
- 2006-03-01
著者
-
Gen Mitsuo
Waseda Univ. Fukuoka Jpn
-
Gen Mitsuo
Waseda University
-
YOO MyungRyun
Waseda University
-
Yoo MungRyun
Waseda University
関連論文
- Fuzzy Methods for Voice-Based Person Authentication
- Optimization and improvement in robot-based assembly line system by hybrid genetic algorithm (特集:進化技術とその応用)
- Hybrid Genetic Algorithm with Fuzzy Logic Controller for Obstacle Location-Allocation Problem
- Multimedia Task Scheduling using Proportion-based Genetic Algorithm
- Case Study on Optimal Routing in Logistics Network by Priority-based Genetic Algorithm (特集:産学連携による論文)
- An effective evolutionary approach for bicriteria shortest path routing problems (特集:進化技術とその応用)
- Joint Replenishment Problem with Multisupplier using Hybrid Genetic Algorithm(Global Supply Chain Management)
- Special Issue on "Intelligent and Evolutionary Systems"
- Evolutionary Computation Technology and its Application
- A Genetic Algorithm with Fuzzy Logic Controller for Design of Communication Networks
- Bicriteria Network Optimization Problem using Priority-based Genetic Algorithm