Kyle Robert Harrison
Kyle Robert Harrison
Research Associate, UNSW Canberra
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
Inertia weight control strategies for particle swarm optimization
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
Swarm Intelligence 10 (4), 267-305, 2016
382016
Self-adaptive particle swarm optimization: a review and analysis of convergence
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
Swarm Intelligence 12 (3), 187-226, 2018
272018
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
212018
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
192016
Knowledge transfer strategies for vector evaluated particle swarm optimization
KR Harrison, B Ombuki-Berman, AP Engelbrecht
International Conference on Evolutionary Multi-Criterion Optimization, 171-184, 2013
172013
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
162016
An experimental evaluation of multi-objective evolutionary algorithms for detecting critical nodes in complex networks
M Ventresca, KR Harrison, BM Ombuki-Berman
European Conference on the Applications of Evolutionary Computation, 164-176, 2015
152015
The bi-objective critical node detection problem
M Ventresca, KR Harrison, BM Ombuki-Berman
European Journal of Operational Research 265 (3), 895-908, 2018
142018
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
82017
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
82017
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
72014
A Scalability Study of Multi-Objective Particle Swarm Optimizers
KR Harrison, AP Engelbrecht, BM Ombuki-Berman
2013 IEEE Congress on Evolutionary Computation (CEC), 189-197, 2013
72013
Incorporating expert knowledge in object-oriented genetic programming
MR Medland, KR Harrison, B Ombuki-Berman
Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014
62014
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
52016
Investigating fitness measures for the automatic construction of graph models
KR Harrison, M Ventresca, BM Ombuki-Berman
European Conference on the Applications of Evolutionary Computation, 189-200, 2015
52015
Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks
MR Medland, KR Harrison, BM Ombuki-Berman
2014 Sixth World Congress on Nature and Biologically Inspired Computing …, 2014
52014
Network Similarity Measures and Automatic Construction of Graph Models using Genetic Programming
KR Harrison
Brock University, 2014
42014
A parameter-free particle swarm optimization algorithm using performance classifiers
KR Harrison, BM Ombuki-Berman, AP Engelbrecht
Information Sciences 503, 381-400, 2019
32019
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
22019
Automatic inference of graph models for directed complex networks using genetic programming
MR Medland, KR Harrison, BM Ombuki-Berman
2016 IEEE Congress on Evolutionary Computation (CEC), 2337-2344, 2016
22016
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