Sciweavers

GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
13 years 10 months ago
Investigations in meta-GAs: panaceas or pipe dreams?
A meta-GA (GA within a GA) is used to investigate evolving the parameter settings of genetic operators for genetic and evolutionary algorithms (GEA) in the hope of creating a self...
Jeff Clune, Sherri Goings, Bill Punch, Eric Goodma...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
13 years 10 months ago
Phase transition in a random NK landscape model
An analysis for the phase transition in a random NK landscape model is given. For the fixed ratio model, NK(n, k, z), Gao and Culberson [17] showed that a random instance generat...
Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 10 months ago
Isolating the benefits of respect
The three mechanisms of crossover are transmission, assortment, and respect. Of these three mechanisms, assortment (i.e. recombination) is traditionally viewed as the primary feat...
Stephen Chen, Gregory Pitt
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
13 years 10 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 10 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
GECCO
2005
Springer
182views Optimization» more  GECCO 2005»
13 years 10 months ago
Improving EAX with restricted 2-opt
Edge Assembly Crossover (EAX) is by far the most successful crossover operator in solving the traveling salesman problem (TSP) with Genetic Algorithms (GAs). Various improvements ...
Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Hua...
GECCO
2005
Springer
161views Optimization» more  GECCO 2005»
13 years 10 months ago
Autonomous navigation system applied to collective robotics with ant-inspired communication
Research in collective robotics is motivated mainly by the possibility of achieving an efficient solution to multi-objective navigation tasks when multiple robots are employed, in...
Renato Reder Cazangi, Fernando J. Von Zuben, Maur&...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
13 years 10 months ago
Symbolic regression in multicollinearity problems
In this paper the potential of GP-generated symbolic regression for alleviating multicollinearity problems in multiple regression is presented with a case study in an industrial s...
Flor A. Castillo, Carlos M. Villa
GECCO
2005
Springer
13 years 10 months ago
Using an interactive evolutionary algorithm to help fitting a cochlear implant
Cochlear implants are electronic devices that stimulate directly the auditory nerve to allow totally deaf patients to hear again. This paper presents an interactive evolutionary a...
Claire Bourgeois-République, Bruno Frachet,...