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GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
14 years 1 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 1 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
14 years 1 months ago
Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for...
Seiji Yamada
PPSN
2000
Springer
14 years 1 months ago
A Hybrid GA for the Edge-Biconnectivity Augmentation Problem
In the design of communication networks, robustness against failures in single links or nodes is an important issue. This paper proposes a new approach for the NP-complete edge-bic...
Ivana Ljubic, Günther R. Raidl, Jozef Kratica
AIIDE
2007
14 years 7 days ago
Automatic Design of Balanced Board Games
AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game pla...
Joe Marks, Vincent Hom