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» On the practical genetic algorithms
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GECCO
2004
Springer
125views Optimization» more  GECCO 2004»
16 years 2 days ago
An Island-Based GA Implementation for VLSI Standard-Cell Placement
Genetic algorithms require relatively large computation time to solve optimization problems, especially in VLSI CAD such as module placement. Therefore, island-based parallel GAs a...
Guangfa Lu, Shawki Areibi
CEC
2003
IEEE
15 years 12 months ago
An evolutionary approach for reducing the switching activity in address buses
In this paper we present two new approaches based on genetic algorithms (GA) to reduce power consumption by communication buses in an embedded system. The first approach makes it ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
167
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GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
15 years 10 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 10 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
IJCAI
2007
15 years 8 months ago
Handling Alternative Activities in Resource-Constrained Project Scheduling Problems
In the context of operative disruption management, decision support systems have to evaluate the typically manifold options of responding to disturbances: The temporal shift of ac...
Jürgen Kuster, Dietmar Jannach, Gerhard Fried...