Inspiring metaphors play an important role in the beginning of an investigation, but are less important in a mature research field as the real phenomena involved are understood. Nowadays, in evolutionary computation, biological analogies should be taken into consideration only if they deliver significant advantages
The objectives of this research are to develop a predictive theory of the Breeder Genetic Algorithm ...
Evolutionary algorithms are used to solve a number of optimization problems in the computer science....
This paper investigates the relations between biological evolution and computer simulations of evolv...
Inspiring metaphors play an important role in the beginning of an investigation, but are less import...
This comment refers to the article available at doi:10.1007/s10710-017-9288-x. Here we comment on th...
The field of meta-heuristics has a long history of finding inspiration in natural systems, starting ...
Metaphors for learning There is no a priori reason why machine learning must borrow from nature. A f...
On the one hand, people admire the often strikingly efficient results of organic evolution. On the o...
In evolutionary computation it is common for the genotype to map directly to the phenotype such that...
Trying to implement a biological plausible model in computer science is a difficult task. One has to...
The field of optimization metaheuristics has a long history of finding inspiration in natural system...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46947/1/10994_2005_Article_422926.pd
The identification of mechanisms by which constraints on phenotypic variability are tuned in nature...
The semantic view of theories is normally considered to be an account of theories congenial to Scien...
peer-reviewedCharles Darwin introduced the theory of evolution by natural selection in [Darwin and ...
The objectives of this research are to develop a predictive theory of the Breeder Genetic Algorithm ...
Evolutionary algorithms are used to solve a number of optimization problems in the computer science....
This paper investigates the relations between biological evolution and computer simulations of evolv...
Inspiring metaphors play an important role in the beginning of an investigation, but are less import...
This comment refers to the article available at doi:10.1007/s10710-017-9288-x. Here we comment on th...
The field of meta-heuristics has a long history of finding inspiration in natural systems, starting ...
Metaphors for learning There is no a priori reason why machine learning must borrow from nature. A f...
On the one hand, people admire the often strikingly efficient results of organic evolution. On the o...
In evolutionary computation it is common for the genotype to map directly to the phenotype such that...
Trying to implement a biological plausible model in computer science is a difficult task. One has to...
The field of optimization metaheuristics has a long history of finding inspiration in natural system...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46947/1/10994_2005_Article_422926.pd
The identification of mechanisms by which constraints on phenotypic variability are tuned in nature...
The semantic view of theories is normally considered to be an account of theories congenial to Scien...
peer-reviewedCharles Darwin introduced the theory of evolution by natural selection in [Darwin and ...
The objectives of this research are to develop a predictive theory of the Breeder Genetic Algorithm ...
Evolutionary algorithms are used to solve a number of optimization problems in the computer science....
This paper investigates the relations between biological evolution and computer simulations of evolv...