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» On the Brittleness of Evolutionary Algorithms
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AAMAS
2002
Springer
15 years 6 months ago
MySpiders: Evolve Your Own Intelligent Web Crawlers
The dynamic nature of the World Wide Web makes it a challenge to find information that is both relevant and recent. Intelligent agents can complement the power of search engines to...
Gautam Pant, Filippo Menczer
CAI
2004
Springer
15 years 6 months ago
An Evolvable Combinational Unit for FPGAs
A complete hardware implementation of an evolvable combinational unit for FPGAs is presented. The proposed combinational unit consisting of a virtual reconfigurable circuit and evo...
Lukás Sekanina, Stepan Friedl
CORR
2004
Springer
92views Education» more  CORR 2004»
15 years 6 months ago
Tournament versus Fitness Uniform Selection
1 In evolutionary algorithms a critical parameter that must be tuned is that of selection pressure. If it is set too low then the rate of convergence towards the optimum is likely...
Shane Legg, Marcus Hutter, Akshat Kumar
AROBOTS
1999
104views more  AROBOTS 1999»
15 years 5 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
NC
2002
210views Neural Networks» more  NC 2002»
15 years 5 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis