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» Critical control of a genetic algorithm
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PPSN
2004
Springer
14 years 3 months ago
Multi-objective Optimisation by Co-operative Co-evolution
This paper presents the integration between a co-operative co-evolutionary genetic algorithm (CCGA) and four evolutionary multiobjective optimisation algorithms (EMOAs): a multi-ob...
Kuntinee Maneeratana, Kittipong Boonlong, Nachol C...
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 3 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
13 years 10 months ago
A Markovian approach to the control of genetic regulatory networks
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while ...
Peter C. Y. Chen, Jeremy W. Chen
GRC
2005
IEEE
14 years 4 months ago
A linear control model for gene intervention in a genetic regulatory network
In this paper, we propose a linear control model for gene intervention in a genetic regulatory network. At each time step, finite controls are allowed to drive the network states...
Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya...
RTSS
2009
IEEE
14 years 5 months ago
On the Scheduling of Mixed-Criticality Real-Time Task Sets
Abstract—The functional consolidation induced by the costreduction trends in embedded systems can force tasks of different criticality (e.g. ABS Brakes with DVD) to share a proce...
Dionisio de Niz, Karthik Lakshmanan, Ragunathan Ra...