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» On the Brittleness of Evolutionary Algorithms
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CORR
2006
Springer
94views Education» more  CORR 2006»
14 years 10 months ago
Fitness Uniform Optimization
Abstract-- In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of more fit individuals. Th...
Marcus Hutter, Shane Legg
EAAI
2006
123views more  EAAI 2006»
14 years 10 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
EOR
2007
89views more  EOR 2007»
14 years 10 months ago
The service allocation problem at the Gioia Tauro Maritime Terminal
The Service Allocation Problem (SAP) is a tactical problem arising in the yard management of a container transshipment terminal. The objective is the minimization of the container...
Jean-François Cordeau, Manlio Gaudioso, Gil...
RTS
2006
132views more  RTS 2006»
14 years 10 months ago
A framework for modular analysis and exploration of heterogeneous embedded systems
Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst
TEC
2008
104views more  TEC 2008»
14 years 10 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson