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ISCAS
2006
IEEE
119views Hardware» more  ISCAS 2006»
15 years 3 months ago
Finite state machine state assignment for area and power minimization
— In this paper, we address the problem of FSM state assignment to minimize area and power. The objectives are targeted as single/independent as well as multi-objective optimizat...
Aiman H. El-Maleh, Sadiq M. Sait, F. Nawaz Khan
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 3 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 3 months ago
Adaptive and Evolvable Network Services
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
Tadashi Nakano, Tatsuya Suda
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
15 years 3 months ago
Evolving Cellular Automata to Grow Microstructures
The properties of engineering structures such as cars, cell phones or bridges rely on materials and on the properties of these materials. The study of these properties, which are d...
David Basanta, Peter J. Bentley, Mark A. Miodownik...
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 3 months ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
Federico Divina, Maarten Keijzer, Elena Marchiori