Recently we had an article about GELAB published in IEEE Access. This talks about all the fancy features of the toolbox as well as presents some results too. This is quite a bit of a
Read moreThe Cutting Edge of Grammatical Evolution
Category: FYP Ideas
Time is on the Side of Grammatical Evolution
Recently we tried to estimate how much time it may consume to run GELAB in Matlab. There is this strong notion that Matlab would be much slower than C++ or Java. And it is true
Read moreAnalysis of Diversity in Grammatical Evolution
Recently we worked together to analyse population diversity in a grammatical evolution environment. Our paper was published ina nice conference. You may want to have a look. Analysis of Diversity in Grammatical Evolution – IEEE
Read moreNeural Correlates of Experience
I remember I wrote about spontaneity a few years back on this blog. I remember how I was thinking about it one day and eventually had my thoughts written down. You can read my article
Read moreRunning to Get Recognized
Recently I worked with a Masters student, who later became a good friend, on the idea of using computer vision techniques for bib number identification. The problem domain was marathon runners. He is fond of
Read moreTechnical Trading Rules for Pakistan Stock Exchange
We did some work in the past to devise technical trading rules for Pakistan stock exchange. This time we did a similar type of work using genetic programming. I hope that you like our work.
Read moreTrading Cryptocurrency with Deep Deterministic Policy Gradients
Recently a student of mine developed a system to predict stock prices of cryptocurrencies. His work has been published as a book chapter in Springer’s prestigious lecture notes on computer science. You might want to
Read moreBlizzard is Released
Recently, we committed a new release of GELAB. This is called Blizzard. A major highlight of this release is that GELAB can now perform hybrid optimization. adilraja/GELAB GELAB: A Matlab Toolbox for Grammatical Evolution GitHub
Read moreEvolving MIMO Multi-layered Artificial Neural Networks Using Grammatical Evolution
Recently, we have been involved in developing a capacity for evolving artificial neural networks using Grammatical Evolution (GE). Our target was MIMO networks, as they can be used in various control systems that require simultaneous
Read moreAssociation Rule Mining Using Grammatical Evolution
The human mind can be tricky. It can tend to do things that it should not be doing in a particular circumstance. There was a presentation in our group today. My mind tended to look
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