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CORR
2004
Springer
92views Education» more  CORR 2004»
15 years 7 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 7 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 7 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
TEC
2002
108views more  TEC 2002»
15 years 6 months ago
Analysis and modeling of control tasks in dynamic systems
Most applications of evolutionary algorithms (EAs) deal with static optimization problems. However, in recent years, there has been a growing interest in timevarying (dynamic) prob...
Rasmus K. Ursem, Thiemo Krink, Mikkel T. Jensen, Z...
204
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PPSN
2010
Springer
15 years 5 months ago
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System
In this paper, we use the exact model (or dynamical system approach) to describe the standard evolutionary algorithm (EA) as a discrete dynamical system for dynamic optimization pr...
Renato Tinós, Shengxiang Yang