Paper Info
Title
Evolutionary change in developmental timing
Abstract
This paper presents a mutation-based evolutionary algorithm that evolves genotypic genes for regulating developmental timing of phenotypic values. The genotype sequentially generates a given number of entire phenotypes and then finishes its life at each generation. Each genotypic gene represents a cycle time of changing probability to determine its corresponding phenotypic value in a life span of the genotype. This cycle time can be considered to be a sort of information on developmental timing. Furthermore, the algorithm has a learning mechanism for genotypic genes representing a long cycle time to change the probability more adaptively than those representing a short cycle time. Therefore, it can be expected that the algorithm brings different evolution speed to each phenotypic value. The experimental results show that the algorithm can identify building blocks of uniformly-scaled problems sequentially and also that a population size required for solving the problems is quite small but the number of function evaluations required is sub-exponential scale-up with the problem size.
Year
DOI
Venue
2005
10.1145/1068009.1068259
GECCO
Keywords
Field
DocType
genotype sequentially,corresponding phenotypic value,short cycle time,long cycle time,phenotypic value,developmental timing,cycle time,evolves genotypic gene,evolutionary change,mutation-based evolutionary algorithm,genotypic gene,evolutionary algorithm,life span,population size
Evolutionary algorithm,Computer science,sort,Theoretical computer science,Life span,Population size,Artificial intelligence,Bioinformatics,Machine learning,Developmental timing
Conference
ISBN
Citations 
PageRank 
1-59593-010-8
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Kei Ohnishi13917.71
Kaori Yoshida21469.49