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111
Voted
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 7 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
116
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 7 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
15 years 7 months ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...
148
Voted
GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 7 months ago
The effects of interaction frequency on the optimization performance of cooperative coevolution
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...
Elena Popovici, Kenneth A. De Jong
118
Voted
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
15 years 7 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule