Re-sampled inheritance search: high performance despite the simplicity F Caraffini, F Neri, BN Passow, G Iacca Soft Computing 17 (12), 2235-2256, 2013 | 36 | 2013 |
Improving anytime behavior for traffic signal control optimization based on NSGA-II and local search PTM Nguyen, BN Passow, Y Yang 2016 International Joint Conference on Neural Networks (IJCNN), 4611-4618, 2016 | 22 | 2016 |
Adapting traffic simulation for traffic management: A neural network approach BN Passow, D Elizondo, F Chiclana, S Witheridge, E Goodyer Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE …, 2013 | 19 | 2013 |
Robustness analysis of evolutionary controller tuning using real systems MA Gongora, BN Passow, AA Hopgood 2009 IEEE Congress on Evolutionary Computation, 606-613, 2009 | 17 | 2009 |
Real-time evolution of an embedded controller for an autonomous helicopter BN Passow, M Gongora, S Coupland, AA Hopgood 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 17 | 2008 |
Range extended for electric vehicle based on driver behaviour M Al-Doori, D Paluszczyszyn, D Elizondo, B Passow, E Goodyer IET Digital Library, 2014 | 11 | 2014 |
Dimensionality reduction and microarray data DA Elizondo, BN Passow, R Birkenhead, A Huemer Principal Manifolds for Data Visualization and Dimension Reduction, 293-308, 2008 | 11 | 2008 |
State detection from electromyographic signals towards the control of prosthetic limbs PA Hardaker, BN Passow, D Elizondo 2013 13th UK Workshop on Computational Intelligence (UKCI), 120-127, 2013 | 9 | 2013 |
A loosely coupled hybrid meta-heuristic algorithm for the static independent task scheduling problem in grid computing MT Younis, S Yang, BN Passow 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 6 | 2018 |
Meta-heuristically seeded genetic algorithm for independent job scheduling in grid computing MT Younis, S Yang, B Passow Applications of Evolutionary Computation: 20th European Conference …, 2017 | 6 | 2017 |
Real-world dynamic optimization using an adaptive-mutation compact genetic algorithm CJ Uzor, M Gongora, S Coupland, BN Passow 2014 IEEE Symposium on computational intelligence in dynamic and uncertain …, 2014 | 6 | 2014 |
Re-sampling search: A seriously simple memetic approach with a high performance F Caraffini, F Neri, M Gongora, BN Passow 2013 IEEE Workshop on Memetic Computing (MC), 52-59, 2013 | 6 | 2013 |
Adaptive-mutation compact genetic algorithm for dynamic environments CJ Uzor, M Gongora, S Coupland, BN Passow Soft Computing 20, 3097-3115, 2016 | 5 | 2016 |
Managing uncertainty in sound based control for an autonomous helicopter BN Passow, MA Gongora, S Smith, AA Hopgood 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular …, 2009 | 5 | 2009 |
Estimation of travel times for minor roads in urban areas using sparse travel time data LH Vu, BN Passow, D Paluszczyszyn, L Deka, E Goodyer IEEE Intelligent Transportation Systems Magazine 13 (3), 220-233, 2020 | 4 | 2020 |
Virtualisation as a means for dynamic software update within the automotive E/E architecture N Ayres, L Deka, B Passow 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 4 | 2019 |
Logan's run: Lane optimisation using genetic algorithms based on nsga-ii S Witheridge, BN Passow, J Shell 2014 International Joint Conference on Neural Networks (IJCNN), 63-68, 2014 | 4 | 2014 |
Infering air quality from traffic data using transferable neural network models MA Molina-Cabello, BN Passow, E Dominguez, D Elizondo, J Obszynska Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 3 | 2019 |
Neighbouring link travel time inference method using artificial neural network LH Vu, BN Passow, D Paluszczyszyn, L Deka, E Goodyer 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 3 | 2017 |
Adaptive mutation in dynamic environments CJ Uzor, M Gongora, S Coupland, BN Passow 2014 14th UK Workshop on Computational Intelligence (UKCI), 1-7, 2014 | 3 | 2014 |