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MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 1 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
AINA
2009
IEEE
15 years 4 months ago
Reliability-Driven Reputation Based Scheduling for Public-Resource Computing Using GA
— For an application in public-resource computing environments, providing reliable scheduling based on resource reliability evaluation is becoming increasingly important. Most ex...
Xiaofeng Wang, Chee Shin Yeo, Rajkumar Buyya, Jins...
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
67
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CORR
2004
Springer
153views Education» more  CORR 2004»
14 years 9 months ago
Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms
Abstract-Boltzmann selectionis an important selection mechanism in evolutionary algorithms as it has theoretical properties which help in theoretical analysis. However, Boltzmann s...
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bh...
CEC
2005
IEEE
14 years 11 months ago
Heterogeneous multiprocessor scheduling with differential evolution
The problem of scheduling a parallel program given by a Directed Acyclic Graph (DAG) of tasks is a well-studied area. We present a new approach which employs Differential Evolution...
Krzysztof Rzadca, Franciszek Seredynski