• • Using Optimisation Meta-Heuristics for the Roughness Estimation Problem in River Flow Analysis (2021), Applied Sciences, DOI:  10.3390/app112210575 (PDF)

  • Differential evolution outside the box  (2021),  Information Sciences,  DOI: 10.1016/j.ins.2021.09.058  (PDF)

  • Analysis of structural bias in Differential Evolution configurations (2021),  Studies in Computational Intelligence,  DOI: 10.1007/978-981-16-8082-3_1  (PDF)

  • SCIPS: A Serious Game Using A Guidance Mechanic To Scaffold Effective Training For Cyber Security (2021),  Information Sciences,  DOI: 10.1016/j.ins.2021.08.098 (PDF)

  • Emergence of Structural Bias in Differential Evolution (2021),  GECCO ’21 Companion, DOI: 10.1145/3449726.3463223 (PDF)

  • Is there Anisotropy in Structural Bias?  (2021), GECCO'21 Companion, DOI: 10.1145/3449726.3463218 (PDF)

  • Evolving Deep Learning Convolutional Neural Networks for Early COVID-19 Detection in Chest X-ray Images (2021), Mathematics, DOI: 10.3390/math9091002  (PDF)

  • Using Self Organising Maps to Predict and Contain Natural Disasters and Pandemics (2021), International Journal of Intelligent Systems, DOI: 10.1002/int.22440  (PDF)

  • Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events (2021),  Applied Soft Computing,  DOI: 10.1016/j.asoc.2021.107381  (PDF)

• • Re-sampled inheritance compact optimization (2020), Knowledge-Based Systems, DOI: https://doi.org/10.1016/j.knosys.2020.106416 (PDF)

  • A Robust Decision-Making Framework Based on Collaborative Agents (2020),  IEEE Access, DOI: 10.1109/ACCESS.2020.3016784 (PDF)

  • Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection (2020), Information Fusion, DOI: 10.1016/j.inffus.2020.06.009 (PDF)

  • Shallow Buried Improvised Explosive Device Detection With Convolutional Neural Networks (2020), Integrated Computer-Aided Engineering, DOI: 10.3233/ICA-200638 (PDF)

  • Can Compact Optimisation Algorithms Be Structurally Biased? (2020),  PPSN 2020, DOI: 10.1007/978-3-030-58112-1_16 (PDF)

  • Implementation of a neural network for interpolating light-sources (2020), IEEE COMPSAC 2020, DOI: 10.1109/COMPSAC48688.2020.00-21(PDF)

  • Identifying Parkinson's Disease Through the Classification of Audio Recording Data (2020), IEEE WCCI, DOI: 10.1109/CEC48606.2020.9185915 (PDF)

  • A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations (2020), IEEE WCCI, DOI: 10.1109/CEC48606.2020.9185742 (PDF)

  • Oil Palm Detection via Deep Transfer Learning (2020), IEEE WCCI, DOI: 10.1109/CEC48606.2020.9185838 (PDF)

  • An Experimental Study of Prediction Methods in Robust Optimization Over Time (2020), IEEE WCCI, DOI: 10.1109/CEC48606.2020.9185910 (PDF)

  • Can Single Solution Optimisation Methods Be Structurally Biased? (2020), IEEE WCCI, DOI: 10.1109/CEC48606.2020.9185494 (PDF)

  • Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform (2020), WCCI 2020, DOI: 10.1109/CEC48606.2020.9185686 (PDF)

  •  The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms (2020), MDPI Mathematics, DOI: 10.3390/math8050785 (PDF)

  • Using Data Mining in Educational Administration - A Case Study on Improving School Attendance (2020), Applied Sciences,  DOI: 10.3390/app10093116 (PDF)

  • Efficient Computation of the Nonlinear Schrödinger Equation with Time-Dependent Coefficients (2020), Mathematics, DOI: 10.3390/math8030374  (PDF)

• • A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation (2019), MDPI Mathematics,  DOI: 10.3390/math7121229  (PDF)

  • An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis (2019), MDPI Mathematics, DOI: 10.3390/math7111051 (PDF)

  • A product-centric data mining algorithm for targeted promotions (2019),  Journal of Retailing and Consumer Services, DOI: 10.1016/j.jretconser.2019.101940 (PDF)

  • Validation of convolutional layers in deep learning models to identify patterns in multispectral images (2019), IEEE CISTI, DOI: 10.23919/CISTI.2019.8760741 

  • Infeasibility and structural bias in differential evolution (2019), Information Sciences, DOI: 10.1016/j.ins.2019.05.019 (PDF)

  • HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain (2019), Information Sciences,  DOI: 10.1016/j.ins.2018.10.033 (PDF)

  • Application of uninorms to market basket analysis (2019), International Journal of Intelligent Systems, DOI: 10.1002/int.22039 (PDF)

  • Compact Optimization Algorithms with Re-Sampled Inheritance (2019),  in LNCS, DOI: 10.1007/978-3-030-16692-2_35 (PDF)

  • A comparison of three differential evolution strategies in terms of early convergence with different population sizes (2019), AIP Conference Proceedings, DOI: 10.1063/1.5089969 (PDF)

  • Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach (2019), AIP Conference Proceedings, DOI: 10.1063/1.5089971 

  • Structural bias in differential evolution: A preliminary study (2019) AIP Conference Proceedings, DOI: 10.1063/1.5089972

• • A study on rotation invariance in differential evolution (2018), Swarm and Evolutionary Computation, DOI: 10.1016/j.swevo.2018.08.013

  • Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution (2018), LNCS including LNAI, DOI: 10.1007/978-3-319-77538-8_41

• • Large scale problems in practice: The effect of dimensionality on the interaction among variables (2017),  LNCS including LNAI,  DOI: 10.1007/978-3-319-55849-3_41

• • Algorithmic issues in computational intelligence optimization: from design to implementation, from implementation to design (2016), University of Jyväskylä (URL,PDF)

• • Cluster-Based Population Initialization for differential evolution frameworks (2015), Information Sciences, DOI: 10.1016/j.ins.2014.11.026

  • Continuous parameter pools in ensemble differential evolution (2015), IEEE SSCI'15, DOI: 10.1109/SSCI.2015.216

  • Multicriteria adaptive differential evolution for global numerical optimization (2015), Integrated Computer-Aided Engineering, DOI: 10.3233/ICA-150481

  • Structural bias in population-based algorithms (2015), Information Sciences, DOI: 10.1016/j.ins.2014.11.035

• • A Separability Prototype for Automatic Memes with Adaptive Operator Selection (2014), IEEE  FOCI'14 at  SSCI'14, DOI: 10.1109/FOCI.2014.7007809 

  • A differential evolution framework with ensemble of parameters and strategies and pool of local search algorithms (2014),LNCS,DOI:10.1007/978-3-662-45523-4_50

  • An analysis on separability for Memetic Computing automatic design (2014), Information Sciences, DOI: 10.1016/j.ins.2013.12.044

  • Multi-strategy coevolving aging particle optimization (2014), International Journal of Neural Systems, DOI: 10.1142/S0129065714500087

• • A CMA-ES super-fit scheme for the re-sampled inheritance search (2013 ) IEEE CEC'13, DOI: 10.1109/CEC.2013.6557692

  • Focusing the search: A progressively shrinking memetic computing framework (2013), IJCA, DOI: 10.1504/IJICA.2013.055929

  • Memory-saving memetic computing for path-following mobile robots (2013), Applied Soft Computing Journal, DOI: 10.1016/j.asoc.2012.11.039

  • Micro-differential evolution with extra moves along the axes (2013) IEEE  SDE'13  at SSCI'13, DOI: 10.1109/SDE.2013.6601441

  • Parallel memetic structures (2013), Information Sciences, DOI: 10.1016/j.ins.2012.11.017

  • Re-sampled inheritance search: High performance despite the simplicity (2013), Soft Computing, DOI: 10.1007/s00500-013-1106-7

  • Re-sampling search: A seriously simple memetic approach with a high performance (2013),  IEEE Workshop on MC'13 at IEEE SSCI'13, DOI: 10.1109/MC.2013.6608207

  • Single particle algorithms for continuous optimization (2013) IEEE CEC'13, DOI: 10.1109/CEC.2013.6557754

  • Super-fit multicriteria adaptive differential evolution (2013), IEEE CEC'13, DOI: 10.1109/CEC.2013.6557763

• • Compact differential evolution light: High performance despite limited memory requirement and modest computational overhead (2012) Comput. Sci. Technol.   DOI: 10.1007/s11390-012-1284-2

  • Handling non-separability in Three Stage Optimal Memetic Exploration (2012) Proceedings of the 5th International Conference on BBIOMA (PDF)

  • Meta-Lamarckian learning in three stage optimal memetic exploration (2012), in UKCI'12, DOI: 10.1109/UKCI.2012.6335770

  • The importance of being structured: A comparative study on multi stage memetic approaches (2012), in UKCI'12, DOI: 10.1109/UKCI.2012.6335768

  • Three variants of three stage optimal memetic exploration for handling non-separable fitness landscapes  (2012),  in UKCI'12,  DOI: 10.1109/UKCI.2012.6335767 

  • Robot base disturbance optimization with compact differential evolution light (2012), in LNCS  including LNAI,  DOI: 10.1007/978-3-642-29178-4_29

Pre-prints of accepted maunuscripts are also downloadable from RG.

• Intelligent system to improve the sustainability of oil palm crops through the construction of forecasting maps (50k GBP) 

• Collaborative methodology for enhancing sustainability in rural communities and the use of land (23K GBP)

• A Genetic Fuzzy System for predicting the spread of the Fatal Slow Wilt (FSW) disease in oil palm plantations (3k GBP)