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Kyle Robert Harrison
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Year
Self-adaptive particle swarm optimization: a review and analysis of convergence
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
Swarm Intelligence 12, 187-226, 2018
1112018
Inertia weight control strategies for particle swarm optimization: Too much momentum, not enough analysis
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
Swarm Intelligence 10, 267-305, 2016
892016
Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
Swarm and evolutionary computation 41, 20-35, 2018
602018
The bi-objective critical node detection problem
M Ventresca, KR Harrison, BM Ombuki-Berman
European Journal of Operational Research 265 (3), 895-908, 2018
412018
A parameter-free particle swarm optimization algorithm using performance classifiers
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
Information Sciences 503, 381-400, 2019
352019
An adaptive particle swarm optimization algorithm based on optimal parameter regions
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
2017 IEEE symposium series on computational intelligence (SSCI), 1-8, 2017
352017
Optimal parameter regions for particle swarm optimization algorithms
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
2017 IEEE congress on evolutionary computation (CEC), 349-356, 2017
282017
The sad state of self-adaptive particle swarm optimizers
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
2016 IEEE Congress on Evolutionary Computation (CEC), 431-439, 2016
272016
An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks
M Ventresca, KR Harrison, BM Ombuki-Berman
Applications of Evolutionary Computation: 18th European Conference …, 2015
242015
Knowledge transfer strategies for vector evaluated particle swarm optimization
KR Harrison, B Ombuki-Berman, AP Engelbrecht
Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013
242013
Portfolio optimization for defence applications
KR Harrison, S Elsayed, I Garanovich, T Weir, M Galister, S Boswell, ...
IEEE Access 8, 60152-60178, 2020
232020
A meta-analysis of centrality measures for comparing and generating complex network models
KR Harrison, M Ventresca, BM Ombuki-Berman
Journal of computational science 17, 205-215, 2016
232016
A radius-free quantum particle swarm optimization technique for dynamic optimization problems
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
2016 IEEE Congress on Evolutionary Computation (CEC), 578-585, 2016
132016
The parameter configuration landscape: A case study on particle swarm optimization
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
2019 IEEE Congress on Evolutionary Computation (CEC), 808-814, 2019
122019
Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
2014 IEEE Congress on Evolutionary Computation (CEC), 1929-1936, 2014
112014
Solving a novel multi-divisional project portfolio selection and scheduling problem
KR Harrison, SM Elsayed, T Weir, IL Garanovich, SG Boswell, RA Sarker
Engineering Applications of Artificial Intelligence 112, 104771, 2022
92022
A hybrid multi-population approach to the project portfolio selection and scheduling problem for future force design
KR Harrison, S Elsayed, IL Garanovich, T Weir, M Galister, S Boswell, ...
IEEE Access 9, 83410-83430, 2021
92021
An analysis of control parameter importance in the particle swarm optimization algorithm
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
International Conference on Swarm Intelligence, 93-105, 2019
92019
The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
Computational Intelligence, 2015 IEEE Symposium Series on, 242-250, 2015
92015
An exploration of meta-heuristic approaches for the project portfolio selection and scheduling problem in a defence context
KR Harrison, S Elsayed, T Weir, IL Garanovich, R Taylor, R Sarker
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1395-1402, 2020
82020
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