The Paper “Search, Neutral Evolution, and Mapping in Evolutionary Computing: A Case Study of Grammatical Evolution” Wilson, D. Kaur, D., appeared in the July 2009 Top 10 Downloads of the IEEE Transactions on Evolutionary Computing ranked #1.
It also appeared (ranked #27) in the Top 100 Downloads of the entire IEEExplore site for July 2009!
Not bad!
Posts Tagged ‘Genetic Programming’
Making It To The Most Read Articles Lists in 2009
Posted in Artificial intelligence, Evolutionary computing, Grammatical Evolution, Machine Intelligence, Machine Learning, Personal, tagged Evolutionary Computation, Extended Phenotype, Genetic algorithm, Genetic Programming, IEEE Transactions on Evolutionary Computing, Search Theory on December 21, 2009 | Leave a Comment »
Is Neutral Evolution Useful for Evolutionary Computation? Part I
Posted in Artificial intelligence, Evolutionary computing, Grammatical Evolution, Machine Intelligence, tagged Artificial intelligence, Evolution, Evolutionary Computation, Gene, Genetic algorithm, Genetic drift, Genetic Programming, Grammatical Evolution, neutral evolution, Phenotype on January 21, 2009 | 2 Comments »
Based on publications, and responses from reviewers on the subject, it is evident that neutral evolution is a misused and misunderstood concept in evolutionary computation circles. I intend to dispel some of the confusion in this series of post based on some material from a journal paper by Dr. Kaur (my doctoral supervisor) and myself [...]
Extending the Phenotype in Evolutionary Computing
Posted in Artificial intelligence, Evolutionary computing, Grammatical Evolution, intelligent machines, tagged Evolution, Evolutionary Computation, Extended Phenotype, Gene, Genetic Programming, Phenotype, Richard Dawkins on January 16, 2009 | Leave a Comment »
In his very readable book “The Extended Phenotype“, Dawkins defined the “Extended Phenotype” as the effects of a gene when those effects are not regarded as being confined to the individual body in which the gene sits. He argues against the arbitrariness of limiting the applicability of phenotypes only to expressions of an organism’s genes [...]
Search, Neutral Evolution and Mapping in Evolutionary Computing:2
Posted in Artificial intelligence, Evolutionary computing, Grammatical Evolution, Machine Learning, Personal, intelligent machines, tagged Artificial intelligence, Evolution, Evolutionary Computation, Genetic Programming, Grammatical Evolution, MATLAB, Paper, Search Theory on January 15, 2009 | Leave a Comment »
Here is a pre-proof copy of my accepted paper: “Search, Neutral Evolution and Mapping in Evolutionary Computing: A Case Study of Grammatical Evolution”.
I would encourage you to read section X (Analysis of related works) , to see its true implications.
I plan to do a series of posts on what this paper means for Evolutionary Computing, [...]
Search, Neutral Evolution and Mapping in Evolutionary Computing: A Case Study of Grammatical Evolution
Posted in Artificial intelligence, Machine Learning, Personal, tagged Algorithm, Artificial intelligence, Evolution, Genetic Programming, Grammatical Evolution, Institute of Electrical and Electronics Engineers, Phenotype on December 7, 2008 | 3 Comments »
The above is the title of my paper that has been accepted by IEEE Trans. on Evolutionary Computing. My doctoral supervisor Dr Kaur is a coauthor of the paper.
Here is the abstract:
We present a new perspective of search in Evolutionary Computing (EC) by using a novel model for the analysis and visualization of genotype to [...]
Some ways you can go wrong with Evolutionary Computing
Posted in Machine Learning, Uncategorized, tagged Artificial intelligence, Genetic algorithm, Genetic Programming on September 23, 2008 | Leave a Comment »
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The second, feeling of his tusk,
Cried, “Ho! What have we here
So very round and smooth and sharp?
To me ’tis mighty clear
This wonder of an Elephant
Is very like a spear”.
by John Godfrey Saxe
The state of Evolutionary Computing is somewhat like the blind men’s observations in Saxe’s poem above. A practitioner’s opinion of what [...]
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