Sciweavers

332 search results - page 2 / 67
» Adapting binary fitness functions in Genetic Algorithms
Sort
View
ICRA
1998
IEEE
147views Robotics» more  ICRA 1998»
13 years 9 months ago
Biologically Inspired Robot Grasping Using Genetic Programming
This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best&#...
Jaime J. Fernandez, Ian D. Walker
GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
13 years 9 months ago
A Biologically Inspired Fitness Function for Robotic Grasping
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
J. Jaime Fernandez, Ian D. Walker
FOGA
1994
13 years 6 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette
IJON
2006
103views more  IJON 2006»
13 years 5 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
IJIT
2004
13 years 6 months ago
Synthesis of Logic Circuits Using Fractional-Order Dynamic Fitness Functions
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuit...
Cecília Reis, José António Te...