Kyle Robert Harrison

36 papers B 12C 1Journal 12Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling.
AI (1)
Siping Chen, Debiao Li, Nasimul Noman, Kyle Robert Harrison, Raymond Chiong
2023 B conf
A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning.
CEC
Liam J. S. McDevitt, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2023 J jnl
Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation.
Appl. Soft Comput.
Kyle Robert Harrison
2022 — conf
A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem.
SSCI
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Sharon G. Boswell, Ruhul A. Sarker
2022 J jnl
Image-based benchmarking and visualization for large-scale global optimization.
Appl. Intell.
Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb
2022 J jnl
Solving a novel multi-divisional project portfolio selection and scheduling problem.
Eng. Appl. Artif. Intell.
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Sharon G. Boswell, Ruhul A. Sarker
2021 J jnl
A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design.
IEEE Access
Kyle Robert Harrison, Saber M. Elsayed, Ivan L. Garanovich, Terence Weir, Michael Galister, Sharon G. Boswell, Richard Taylor, Ruhul A. Sarker
2021 — conf
Project portfolio selection with defense capability options.
GECCO Companion
Kyle Robert Harrison, Saber M. Elsayed, Ruhul A. Sarker, Ivan L. Garanovich, Terence Weir, Sharon G. Boswell
2021 B conf
Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification.
CEC
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2020 — conf
An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context.
SSCI
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Richard Taylor, Ruhul A. Sarker
2020 J jnl
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization.
CoRR
Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb
2020 B conf
Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning.
SMC
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Michael Galister, Sharon G. Boswell, Richard Taylor, Ruhul A. Sarker
2020 J jnl
Portfolio Optimization for Defence Applications.
IEEE Access
Kyle Robert Harrison, Saber M. Elsayed, Ivan L. Garanovich, Terence Weir, Michael Galister, Sharon G. Boswell, Richard Taylor, Ruhul A. Sarker
2020 — conf
Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification.
SSCI
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2019 J jnl
A parameter-free particle swarm optimization algorithm using performance classifiers.
Inf. Sci.
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2019 — conf
An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm.
ICSI (1)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2019 B conf
The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization.
CEC
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2018 — conf
Gaussian-Valued Particle Swarm Optimization.
ANTS Conference
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2018 J jnl
Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm.
Swarm Evol. Comput.
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2018 J jnl
Self-adaptive particle swarm optimization: a review and analysis of convergence.
Swarm Intell.
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2018 J jnl
The bi-objective critical node detection problem.
Eur. J. Oper. Res.
Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2017 — conf
An adaptive particle swarm optimization algorithm based on optimal parameter regions.
SSCI
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2017 B conf
Optimal parameter regions for particle swarm optimization algorithms.
CEC
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2016 J jnl
A meta-analysis of centrality measures for comparing and generating complex network models.
J. Comput. Sci.
Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
2016 B conf
A radius-free quantum particle swarm optimization technique for dynamic optimization problems.
CEC
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2016 B conf
Automatic inference of graph models for directed complex networks using genetic programming.
CEC
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2016 J jnl
Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis.
Swarm Intell.
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2016 B conf
The sad state of self-adaptive particle swarm optimizers.
CEC
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2015 B conf
An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks.
EvoApplications
Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2015 B conf
Investigating Fitness Measures for the Automatic Construction of Graph Models.
EvoApplications
Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
2015 — conf
The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems.
SSCI
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2014 — conf
Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks.
NaBIC
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2014 B conf
Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization.
IEEE Congress on Evolutionary Computation
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2014 — conf
Incorporating expert knowledge in object-oriented genetic programming.
GECCO (Companion)
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2013 B conf
A scalability study of multi-objective particle swarm optimizers.
IEEE Congress on Evolutionary Computation
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2013 C conf
Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization.
EMO
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht