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GECCO
2007
Springer
129views Optimization» more  GECCO 2007»
16 years 1 months ago
Achieving a simple development model for 3D shapes: are chemicals necessary?
Artificial Development Systems have been introduced as a technique aimed at increasing the scalability of evolutionary algorithms. Most commonly the development model is part of ...
Pauline C. Haddow, Johan Hoye
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 1 months ago
Action-selection and crossover strategies for self-modeling machines
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
Josh C. Bongard
194
Voted
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 1 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
184
Voted
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
16 years 1 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
177
Voted
ICRA
2006
IEEE
112views Robotics» more  ICRA 2006»
16 years 1 months ago
Generic Differential Kinematic Modeling of Articulated Multi-monocycle Mobile Robots
— This paper presents a generic kinematic modeling approach for articulated multi-monocycle mobile robots. The formulation proposed to deduce the input/output velocity equations ...
Frederic Le Menn, Philippe Bidaud, Faïz Ben A...