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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 2 months ago
A genetic algorithm to improve linux kernel performance on resource-constrained devices
As computers become increasingly mobile, users demand more functionality, longer battery-life, and better performance from mobile devices. In response, chipset fabricators are foc...
James Kukunas, Robert D. Cupper, Gregory M. Kapfha...
EVOW
2006
Springer
15 years 1 months ago
Optimisation of Constant Matrix Multiplication Operation Hardware Using a Genetic Algorithm
Abstract. The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems. Prev...
Andrew Kinane, Valentin Muresan, Noel E. O'Connor
96
Voted
GPEM
2002
104views more  GPEM 2002»
14 years 10 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
ADVAI
2010
110views more  ADVAI 2010»
14 years 4 months ago
Using Genetic Algorithms to Represent Higher-Level Planning in Simulation Models of Conflict
The focus of warfare has shifted from the Industrial Age to the Information Age, as encapsulated by the term Network Enabled Capability. This emphasises information sharing, comma...
James Moffat, Susan Fellows
CP
2005
Springer
15 years 3 months ago
Planning and Scheduling to Minimize Tardiness
We combine mixed integer linear programming (MILP) and constraint programming (CP) to minimize tardiness in planning and scheduling. Tasks are allocated to facilities using MILP an...
John N. Hooker