In this webinar, the genetic programming (GP) algorithm will be introduced; the introduction will aim to enable an intuitive understanding of GP. Next, the challenge of managing the complexity of GP solutions will be discussed. Thereafter, a new research direction for addressing this challenge will be presented.
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SPEAKER
Aliyu Sambo, currently pursuing a PhD in Computing (Artificial Intelligence).
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AGENDA
12.30 Presentation
13.45 Approx End
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SYNOPSIS
Genetic programming is a versatile algorithm that is inspired by the principles of natural evolution. The approach of “evolving” programs is thought to have originated from Alan Turing in the 1950’s and is now relevant for machine learning, automatic programming, design, and as a general problem-solving instrument. Using this algorithm is not without challenges.
The dimension of the data used in training the GP models greatly impacts the execution time of GP. As GP is computer resource-intensive, even a moderately sized dataset can take an excessively long time to execute. A way of addressing this challenge is to suppress unnecessary growth in the complexity of the models that are being produced.
In this webinar, the genetic programming (GP) algorithm will be introduced; the introduction will aim to enable an intuitive understanding of GP. Next, the challenge of managing the complexity of GP solutions will be discussed. Thereafter, a new research direction for addressing this challenge will be presented.
This event is part of a series of webinars being organised by the Data Management Specialist Group, presenting recent academic research into computing applications that utilise managed data. This presentation will be of particular interest to those following developments in: artificial Intelligence, programming technique and the various uses of managed data.
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SPEAKER BIOGRAPHY
Aliyu Sambo, currently pursuing a PhD in Computing (Artificial Intelligence).
Aliyu Sambo is currently conducting research in the evolutionary computation domain. His specific interest is in managing the complexity of the solutions that are produced by genetic programming algorithms. Aliyu embarked on research after more than 15 years of rigorous industry experience. The experience includes a variety of computing and telecommunication specialist roles in a multi-national organisation.
His areas of expertise include data science, IT service management, systems engineering, telecommunication core network management, performance management, and teaching. He has a BSc in Computing and an MSc in Business Intelligence. He is pursuing a PhD in Computing (Artificial Intelligence).
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THIS EVENT IS BROUGHT TO YOU BY:
Data Management SG
https://www.bcs.org/membership/member-communities/data-management-specialist-group/
