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141
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GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
16 years 12 days ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby
192
Voted
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
16 years 11 days ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 11 days ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
GECCO
2005
Springer
16 years 11 days ago
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm
Mobile ad hoc networks are typically designed and evaluated in generic simulation environments. However the real conditions in which these networks are deployed can be quite diff...
David J. Montana, Jason Redi
172
Voted
GRID
2005
Springer
16 years 11 days ago
Automatic clustering of grid nodes
— In a grid-computing environment, resource selection and scheduling depend on the network topology connecting the computation nodes. This paper presents a method to hierarchical...
Qiang Xu, Jaspal Subhlok
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