Grammatical Evolution and Its Cutting Edge

a sunbeam shines through a cave in the ocean

We were delighted to see our article about grammatical evolution getting published in a prestigious journal of IEEE. This is by the most detailed account of what GELAB is capable of. It lists all the background work as well as…

Diversity in Grammatical Evolution

assorted candies in plastic containers

Understanding the population dynamics of an evolutionary algorithm (EA) is very important. It helps us improve the algorithm as well as the optimization process. In this work, we analyzed the diversity of candidate solutions in the evolving population of grammatical…

Computational Efficiency of GELAB

brown-and-white clocks

We have been writing about GELAB in the past. The automatic programming toolbox is quite mature at this stage. Recently we also measured the computational efficiency of the toolbox and we found it on par with the primitive implementation of…

Neural Correlates of Experience

Recently we published an article about the neural correlates of experience. More specifically, the research tries to explore what parts of the brain are activated when a more experienced person engages in an activity as opposed to an inexperienced person.…

Technical Trading Rules for Pakistan Stock Exchange

The efficient market hypothesis (EMH) suggests that a stock market behaves like a random walk which means that developing profitable trading rules and forecasting the trends would be impossible. However, quantitative traders examine the short-term behavior of the market using…

Optimizing Cryptocurrency Portfolios via Deep Deterministic Policy Gradients (DDPG)

Executive Summary The financial sector has long debated the efficacy of active day trading versus passive “buy and hold” (HODL) strategies. In the volatile cryptocurrency market, traditional time-series forecasting often fails to account for non-linear market dynamics. This case study…

Evolution of Multi-Layered MIMO Artificial Neural Networks Using Grammatical Evolution

We have been publishing about grammatical evolution in quite a lot of detail in the past. Here is another one. In this work, we have developed the ability to evolve multi-input multi-output neural networks using grammatical evolution. The main target…

Hybrid Optimization And GELAB

Recently we released Blizzard. It is capable of doing hybrid optimization using GELAB. Hybrid optimization is an important family of learning algorithms. Its main benefit in plain words is that it is helpful for training machines to perform intricate tasks.…