A scalability study of multi-objective particle swarm optimizers. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (IEEE Congress on Evolutionary Computation, 2013)

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (EMO, 2013)

Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Incorporating expert knowledge in object-oriented genetic programming. - Michael Richard Medland; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (GECCO (Companion), 2014)

Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks. - Michael Richard Medland; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (NaBIC, 2014)

Investigating Fitness Measures for the Automatic Construction of Graph Models. - Kyle Robert Harrison; Mario Ventresca; Beatrice M. Ombuki-Berman (EvoApplications, 2015)

An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks. - Mario Ventresca; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (EvoApplications, 2015)

The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2015)

The sad state of self-adaptive particle swarm optimizers. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (CEC, 2016)

A radius-free quantum particle swarm optimization technique for dynamic optimization problems. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2016)

Automatic inference of graph models for directed complex networks using genetic programming. - Michael Richard Medland; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (CEC, 2016)

A meta-analysis of centrality measures for comparing and generating complex network models. - Kyle Robert Harrison; Mario Ventresca; Beatrice M. Ombuki-Berman (J. Comput. Sci., 2016)

Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Intell., 2016)

Optimal parameter regions for particle swarm optimization algorithms. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2017)

An adaptive particle swarm optimization algorithm based on optimal parameter regions. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (SSCI, 2017)

Gaussian-Valued Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ANTS Conference, 2018)

The bi-objective critical node detection problem. - Mario Ventresca; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (Eur. J. Oper. Res., 2018)

Self-adaptive particle swarm optimization: a review and analysis of convergence. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Intell., 2018)

Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Evol. Comput., 2018)

The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2019)

An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ICSI (1), 2019)

A parameter-free particle swarm optimization algorithm using performance classifiers. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Inf. Sci., 2019)

Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning. - Kyle Robert Harrison; Saber M. Elsayed; Terence Weir; Ivan L. Garanovich; Michael Galister; Sharon G. Boswell; Richard Taylor; Ruhul A. Sarker (SMC, 2020)

An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context. - Kyle Robert Harrison; Saber M. Elsayed; Terence Weir; Ivan L. Garanovich; Richard Taylor; Ruhul A. Sarker (SSCI, 2020)

Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2020)

Portfolio Optimization for Defence Applications. - Kyle Robert Harrison; Saber M. Elsayed; Ivan L. Garanovich; Terence Weir; Michael Galister; Sharon G. Boswell; Richard Taylor; Ruhul A. Sarker (IEEE Access, 2020)

Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2021)

Project portfolio selection with defense capability options. - Kyle Robert Harrison; Saber M. Elsayed; Ruhul A. Sarker; Ivan L. Garanovich; Terence Weir; Sharon G. Boswell (GECCO Companion, 2021)

A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design. - Kyle Robert Harrison; Saber M. Elsayed; Ivan L. Garanovich; Terence Weir; Michael Galister; Sharon G. Boswell; Richard Taylor; Ruhul A. Sarker (IEEE Access, 2021)

A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem. - Kyle Robert Harrison; Saber M. Elsayed; Terence Weir; Ivan L. Garanovich; Sharon G. Boswell; Ruhul A. Sarker (SSCI, 2022)

Image-based benchmarking and visualization for large-scale global optimization. - Kyle Robert Harrison; Azam Asilian Bidgoli; Shahryar Rahnamayan; Kalyanmoy Deb (Appl. Intell., 2022)

Solving a novel multi-divisional project portfolio selection and scheduling problem. - Kyle Robert Harrison; Saber M. Elsayed; Terence Weir; Ivan L. Garanovich; Sharon G. Boswell; Ruhul A. Sarker (Eng. Appl. Artif. Intell., 2022)

A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning. - Liam J. S. McDevitt; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (CEC, 2023)

Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation. - Kyle Robert Harrison (Appl. Soft Comput., 2023)

An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling. - Siping Chen; Debiao Li; Nasimul Noman; Kyle Robert Harrison; Raymond Chiong (AI (1), 2024)