The WordPress.com stats helper monkeys prepared a 2014 annual report for this blog.
Here’s an excerpt:
The Louvre Museum has 8.5 million visitors per year. This blog was viewed about 79,000 times in 2014. If it were an exhibit at the Louvre Museum, it would take about 3 days for that many people to see it.
This is updated blog post about GPdotNET citation
Recently I have googled about GPdotNET to find out how people use GPdotNET. I was surprised that there are plenty of sites which are published GPdotNET as freeware software. I have also found several scientific papers which citated GPdotNT as well. Some other people used it as elegant example in their lessons. Some students used GPdotNET in seminars and diploma works, master and phd thesis.
All in all I was very excited about it. So lets list some interested web sites and scientific paper which mentioned GPdotNET.
1. Softpedia http://www.softpedia.com/get/Science-CAD/GPdotNET.shtml
2. StackOverflow : http://stackoverflow.com/questions/14761910/genetic-evolution-of-source-code/14762077#14762077
3. Genetic Programming article: http://www.answers.com/topic/genetic-programming
4. Teaching lessons from Faculty of Informatics, Burapha University, Thailand: Evolutionary Algorithms Applied to Finance
5. Karlsruhe Institute of Technology Paper Work: Evolutionary Algorithms.
6. Scientific paper, ACS Vol.14: Use of Learning Methods to Improve Kinematic Models
7. Scientific paper, JPE Vol.15: Modeling of Discharge Energy in Electrical Discharge…
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As currently implemented GPdotNET has classic crossover implementation without any intelligent way to exchange genetic materials. In most time classic crossover operation is destructive operation wasting lot of good genetic materials. By including brood recombination crossover can be slightly improved.
Brood recombination simple repeats crossover operation several time on the same parents, with different crossover points. After fitness evaluation of offspring, the best two child are kept and others are discarded. On that way there is a better chance to get better child than with classic crossover. The picture below graphically describes brood recombination.
The first feature which will be implemented is manually setting the Brood Size of crossover. By adding Brood Recombination, we will increase possibility that two chromosomes will exchange the best genetic material they have.
The next feature will be brood size which will be generating dynamically and will be dependent of the generation number.
After Microsoft TechDay finished yesterday I got several emails and questions about my demos and slides from the Azure Workshop.
So here is a link from which you can download all slides and demos you saw yesterday on my Workshop:
Slides about Microsoft Azure Training are general available at Git site: https://github.com/Azure-Readiness/DevCamp.
Once more thank you all for attending the workshop and see you next time. I am very glad I can see lot of people interested in Microsoft Azure and other cool technologies from Microsoft.
Bahrudin Hrnjica Blog 