Kyle Robert Harrison

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 27

Top Topics

Scheduling Problem

Portfolio Selection

Top Venues

EvoApplications

Publications

Kyle Robert Harrison
Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation. Appl. Soft Comput. 146 (2023)
Liam J. S. McDevitt, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning. CEC (2023)
Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb
Image-based benchmarking and visualization for large-scale global optimization. Appl. Intell. 52 (4) (2022)
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Sharon G. Boswell, Ruhul A. Sarker
Solving a novel multi-divisional project portfolio selection and scheduling problem. Eng. Appl. Artif. Intell. 112 (2022)
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Sharon G. Boswell, Ruhul A. Sarker
A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem. SSCI (2022)
Kyle Robert Harrison, Saber M. Elsayed, Ivan L. Garanovich, Terence Weir, Michael Galister, Sharon G. Boswell, Richard Taylor, Ruhul A. Sarker
A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design. IEEE Access 9 (2021)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. CEC (2021)
Kyle Robert Harrison, Saber M. Elsayed, Ruhul A. Sarker, Ivan L. Garanovich, Terence Weir, Sharon G. Boswell
Project portfolio selection with defense capability options. GECCO Companion (2021)
Kyle Robert Harrison, Saber M. Elsayed, Ivan L. Garanovich, Terence Weir, Michael Galister, Sharon G. Boswell, Richard Taylor, Ruhul A. Sarker
Portfolio Optimization for Defence Applications. IEEE Access 8 (2020)
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Michael Galister, Sharon G. Boswell, Richard Taylor, Ruhul A. Sarker
Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning. SMC (2020)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. SSCI (2020)
Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization. CoRR (2020)
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Richard Taylor, Ruhul A. Sarker
An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context. SSCI (2020)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A parameter-free particle swarm optimization algorithm using performance classifiers. Inf. Sci. 503 (2019)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm. ICSI (1) (2019)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. CEC (2019)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Self-adaptive particle swarm optimization: a review and analysis of convergence. Swarm Intell. 12 (3) (2018)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Gaussian-Valued Particle Swarm Optimization. ANTS Conference (2018)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm. Swarm Evol. Comput. 41 (2018)
Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
The bi-objective critical node detection problem. Eur. J. Oper. Res. 265 (3) (2018)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Optimal parameter regions for particle swarm optimization algorithms. CEC (2017)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
An adaptive particle swarm optimization algorithm based on optimal parameter regions. SSCI (2017)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis. Swarm Intell. 10 (4) (2016)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A radius-free quantum particle swarm optimization technique for dynamic optimization problems. CEC (2016)
Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
A meta-analysis of centrality measures for comparing and generating complex network models. J. Comput. Sci. 17 (2016)
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
Automatic inference of graph models for directed complex networks using genetic programming. CEC (2016)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
The sad state of self-adaptive particle swarm optimizers. CEC (2016)
Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
Investigating Fitness Measures for the Automatic Construction of Graph Models. EvoApplications (2015)
Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks. EvoApplications (2015)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems. SSCI (2015)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. IEEE Congress on Evolutionary Computation (2014)
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
Incorporating expert knowledge in object-oriented genetic programming. GECCO (Companion) (2014)
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks. NaBIC (2014)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
A scalability study of multi-objective particle swarm optimizers. IEEE Congress on Evolutionary Computation (2013)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. EMO (2013)