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» The Evolutionary Control Methodology: An Overview
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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolution of functional specialization in a morphologically homogeneous robot
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
Joshua S. Auerbach, Josh C. Bongard
IROS
2008
IEEE
151views Robotics» more  IROS 2008»
14 years 2 months ago
A performance sensitive hormone-inspired system for task distribution amongst evolving robots
— A hormone-inspired task scheduling method is described which assigns tasks to a group of robots, taking into account the robots’ performances. This method draws on previous w...
Joanne H. Walker, Myra S. Wilson
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 1 months ago
Self-adaptive simulated binary crossover for real-parameter optimization
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...
Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe
DAC
1999
ACM
13 years 12 months ago
Reducing Cross-Coupling Among Interconnect Wires in Deep-Submicron Datapath Design
As the CMOS technology enters the deep submicron design era, the lateral inter-wire coupling capacitance becomes the dominant part of load capacitance and makes RC delay on the bu...
Joon-Seo Yim, Chong-Min Kyung
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
13 years 11 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...