grammatical evolution | Psyops Prime

Balancing Fairness and Accuracy with Grammatical Evolution: Can Evolutionary AI Help Build More Responsible Machine Learning?

April 24, 2026 admin Machine Learning

Artificial Intelligence is increasingly making decisions that matter. Whether approving loans, supporting hiring decisions, prioritizing healthcare interventions, or assisting criminal justice systems, machine learning models

Balancing Fairness and Accuracy in AI: A Causal, Multi-Objective Perspective

January 26, 2026 admin Machine Learning, Science, Technology

Artificial Intelligence systems are no longer confined to research labs. They influence decisions about loans, employment, healthcare, and criminal justice—domains where fairness is not optional.

The Cutting Edge of Grammatical Evolution

May 18, 2022 admin FYP Ideas, Ideas, Machine Learning, Research Ideas, Technology

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

Analysis of Diversity in Grammatical Evolution

June 2, 2021 admin FYP Ideas, Ideas, Machine Learning, Research Ideas

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

GELAB And Hybrid Optimization Using Grammatical Evolution

November 20, 2020 admin Machine Learning

Blizzard was released recently. This was the start of the second verion of GELAB. A major highlight of Blizzard is that it is capable of

Blizzard is Released

September 10, 2020 admin FYP Ideas, Ideas, Machine Learning, Research Ideas, Science, Technology

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

Evolving MIMO Multi-layered Artificial Neural Networks Using Grammatical Evolution

May 8, 2019 admin FYP Ideas, Ideas, Machine Learning, Research Ideas

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