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GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
9 years 10 months ago
Estimating the destructiveness of crossover on binary tree representations
In some cases, evolutionary algorithms represent individuals as typical binary trees with n leaves and n-1 internal nodes. When designing a crossover operator for a particular rep...
Luke Sheneman, James A. Foster
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
9 years 10 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
GECCO
2006
Springer
291views Optimization» more  GECCO 2006»
9 years 10 months ago
Modular thinking: evolving modular neural networks for visual guidance of agents
This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
9 years 10 months ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
9 years 10 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
9 years 10 months ago
Evaluation relaxation using substructural information and linear estimation
The paper presents an evaluation-relaxation scheme where a fitness surrogate automatically adapts to the problem structure and the partial contributions of subsolutions to the fit...
Kumara Sastry, Cláudio F. Lima, David E. Go...
GECCO
2006
Springer
127views Optimization» more  GECCO 2006»
9 years 10 months ago
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
This paper studies the effectiveness of multiobjective genetic and evolutionary algorithms in multiscaling excited state direct dynamics in photochemistry via rapid reparameteriza...
Kumara Sastry, D. D. Johnson, Alexis L. Thompson, ...
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
9 years 10 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
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
9 years 10 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
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