• Publications
  • Influence
Predicting the Structure of Covert Networks using Genetic Programming, Cognitive Work Analysis and Social Network Analysis
TLDR
This project demonstrates that it is possible to define a set of structures that can be tackled using different intervention strategies, and demonstrates how patterns of social network structures can be predicted on the basis of task knowledge, and how they can be used to guide the gathering of intelligence and to define plausible Covert Networks.
Attribute Grammar Genetic Programming Algorithm for Automatic Code Parallelization
TLDR
A method is presented for evolving individuals that use an Attribute Grammar (AG) in a generative way that first generates a vector of real numbers using standard GP, before using the vector to produce a parse tree.
Bio-inspired simulation tool for PERT
TLDR
This Genetic Programming based tool simulates activities and resource allocations in the Program (Project) Evaluation and Review Technique method of project control and enables the project owners and project managers to come up with robust and innovative contingency measures to decrease the likelihood of project failure before project start-up.
Enhancing Chance Discovery: Dimensions, Strategies and Tools
TLDR
The dimensions of Chance Discovery are outlined followed by recommended strategies to enhance Chance Discovery and concepts are clarified and promising strategies are explored.
Explainable A.I.: The Promise of Genetic Programming Multi-run Subtree Encapsulation
TLDR
This paper explains how Multirun Subtree Encapsulation can provide equivalent white box solutions to facilitate Explainable Artificial Intelligence.
A Method of Project Evaluation and Review Technique (PERT) Optimization by Means of Genetic Programming
  • Daniel Howard
  • Computer Science
    Symposium on Bio-inspired Learning and…
  • 20 August 2009
TLDR
Genetic Programming is applied to solve scheduling problems and simulates the PERT method of project control, and Genetic Programming provides multiple acceptable solutions.
[Seeding Methods for Run Transferable Libraries] Capturing Domain Relevant Functionality through Schematic Manipulation for Genetic Programming
TLDR
This paper applies a recently developed technique of expression structure analysis and parametric distribution to the generation of functional content relevant to the problem domain, and introduces a new algorithm for adapting the schematic templates discovered by such an analysis into a family of related functional expressions.
Genetic Programming visitation scheduling in lockdown with partial infection model that leverages information from COVID19 testing
TLDR
A model of partial infection is developed and implemented to address the real world situation whereby COVID19 testing indicates risks of infection for members of a taxonomic class for example, age groups, exploiting such information for the aforementioned purpose.
Genetic Programming visitation scheduling solution can deliver a less austere COVID-19 pandemic population lockdown
TLDR
A novel partial infection model is introduced to discuss these proof of concept solutions which are compared to round robin uninformed time scheduling for visits to places and indicate vast improvements with far fewer dead and hospitalized people.
Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example
TLDR
A new toy problem involving collision avoidance is introduced to research how GP may discover a diverse set of multiple solutions to a single problem.
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