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CISIM
2008
IEEE
14 years 2 months ago
Scheduling in Multiprocessor System Using Genetic Algorithms
Multiprocessors have emerged as a powerful computing means for running real-time applications, especially where a uniprocessor system would not be sufficient enough to execute all...
Keshav P. Dahal, M. Alamgir Hossain, Benny Varghes...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multi-resistant radar jamming using genetic algorithms
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
Hans Jonas Fossum Moen, Stein Kristoffersen
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
SGAI
2007
Springer
14 years 1 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
FASE
2010
Springer
14 years 2 months ago
Dynamic Resource Scheduling in Disruption-Prone Software Development Environments
Good resource scheduling plays a pivotal role in successful software development projects. However, effective resource scheduling is complicated by such disruptions as requirements...
Junchao Xiao, Leon J. Osterweil, Qing Wang, Mingsh...