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ORCIDKyle Robert Harrison
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2020 – today
- 2024
[c24]Siping Chen, Debiao Li, Nasimul Noman, Kyle Robert Harrison, Raymond Chiong:
An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling. AI (1) 2024: 354-365- 2023
- [j11]Kyle Robert Harrison
:
Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation. Appl. Soft Comput. 146: 110705 (2023) - [c23]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: 1-8 - 2022
- [j10]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-based benchmarking and visualization for large-scale global optimization. Appl. Intell. 52(4): 4161-4191 (2022) - [j9]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: 104771 (2022) - [c22]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: 480-487 - 2021
- [j8]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: 83410-83430 (2021) - [c21]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: 2299-2306 - [c20]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: 1825-1826 - 2020
- [j7]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: 60152-60178 (2020) - [c19]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: 4044-4050 - [c18]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: 1395-1402 - [c17]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: 2437-2444 - [i1]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization. CoRR abs/2007.12332 (2020)
2010 – 2019
- 2019
- [j6]Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
A parameter-free particle swarm optimization algorithm using performance classifiers. Inf. Sci. 503: 381-400 (2019) - [c16]Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. CEC 2019: 808-814 - [c15]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: 93-105 - 2018
- [j5]Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman:
The bi-objective critical node detection problem. Eur. J. Oper. Res. 265(3): 895-908 (2018) - [j4]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): 187-226 (2018) - [j3]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: 20-35 (2018) - [c14]Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Gaussian-Valued Particle Swarm Optimization. ANTS Conference 2018: 368-377 - 2017
- [c13]Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Optimal parameter regions for particle swarm optimization algorithms. CEC 2017: 349-356 - [c12]Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman:
An adaptive particle swarm optimization algorithm based on optimal parameter regions. SSCI 2017: 1-8 - 2016
- [j2]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: 205-215 (2016) - [j1]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): 267-305 (2016) - [c11]Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman:
The sad state of self-adaptive particle swarm optimizers. CEC 2016: 431-439 - [c10]Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
A radius-free quantum particle swarm optimization technique for dynamic optimization problems. CEC 2016: 578-585 - [c9]Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman:
Automatic inference of graph models for directed complex networks using genetic programming. CEC 2016: 2337-2344 - 2015
- [c8]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: 164-176 - [c7]Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman:
Investigating Fitness Measures for the Automatic Construction of Graph Models. EvoApplications 2015: 189-200 - [c6]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: 242-250 - 2014
- [c5]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: 1929-1936 - [c4]Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman:
Incorporating expert knowledge in object-oriented genetic programming. GECCO (Companion) 2014: 145-146 - [c3]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: 305-311 - 2013
- [c2]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: 189-197 - [c1]Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. EMO 2013: 171-184
Coauthor Index
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