Optimum Work Roll Profile Selection in the Hot Rolling of Wide Steel Strip Using Computational Intelligence. - Lars Nolle; Adrun Armstrong; Adrian A. Hopgood; J. Andrew Ware (Fuzzy Days, 1999)

On Step Width Adaptation in Simulated Annealing for Continuous Parameter Optimisation. - Lars Nolle; Alec Goodyear; Adrian A. Hopgood; Phil D. Picton; Nicholas St. J. Braithwaite (Fuzzy Days, 2001)

Automated control of an actively compensated Langmuir probe system using simulated annealing. - Lars Nolle; Alec Goodyear; Adrian A. Hopgood; Phil D. Picton; Nicholas St. J. Braithwaite (Knowl. Based Syst., 2002)

Design and Implementation of an Inter-Process Communication Model for an Embedded Distributed Processing Network. - Kum Wah Choy; Adrian A. Hopgood; Lars Nolle; Brian C. O'Neill (Software Engineering Research and Practice, 2003)

On a new Stepwidth Adaptation Scheme for Simulated Annealing and its Practical Application. - Lars Nolle (SGAI Conf., 2003)

Hybrid search algorithm applied to the colour quantisation problem. - Lars Nolle; Gerald Schaefer (SGAI Conf. (Applications), 2005)

Comparison of an self-organizing migration algorithm with simulated annealing and differential evolution for automated waveform tuning. - Lars Nolle; Ivan Zelinka; Adrian A. Hopgood; Alec Goodyear (Adv. Eng. Softw., 2005)

Quality Metric Based Colour Palette Optimisation. - Gerald Schaefer; Lars Nolle (ICIP, 2006)

Non-linear Total Energy Optimisation of a Fleet of Power Plants. - Lars Nolle; Friedrich Biegler-König; Peter Deeskow (SGAI Conf. (Applications), 2006)

A Self-Adaptive Hybrid Genetic Algorithm for Color Clustering. - Tarek A. El-Mihoub; Lars Nolle; Gerald Schaefer; Tomoharu Nakashima; Adrian Hopgood (SMC, 2006)

Hybrid Genetic Algorithms: A Review. - Tarek A. El-Mihoub; Adrian A. Hopgood; Lars Nolle; Alan Battersby (Eng. Lett., 2006)

SASS Applied to Automated Langmuir Probe Tuning. - Lars Nolle (Asia International Conference on Modelling and Simulation, 2007)

SASS applied to optimum work roll profile selection in the hot rolling of wide steel. - Lars Nolle (Knowl. Based Syst., 2007)

Comparison of simulated annealing and SASS for parameter estimation of biochemical networks. - Josep Sayol; Lars Nolle; Gerald Schaefer; Tomoharu Nakashima (IEEE Congress on Evolutionary Computation, 2008)

On a Control Parameter Free Optimization Algorithm. - Lars Nolle (SGAI Conf., 2008)

On a novel ACO-Estimator and its application to the Target Motion Analysis problem. - Lars Nolle (Knowl. Based Syst., 2008)

Confidence Partition and Hybrid Fusion in Multimodal Biometric Verification System. - Chaw Chia; Nasser Sherkat; Lars Nolle (COST 2101/2102 Conference, 2009)

Solving A Multi-Dimensional Knapsack Problem Using A Hybrid Particle Swarm Optimization Algorithm. - Nam Fai Wan; Lars Nolle (ECMS, 2009)

Cluster-Based Benchmarking of Universities as an Alternative to League Tables. - Lars Nolle (SGAI Conf., 2009)

Towards a Best Linear Combination for Multimodal Biometric Fusion. - Chaw Chia; Nasser Sherkat; Lars Nolle (ICPR, 2010)

Self-Adaptive Stepsize Search Applied to Optimal Structural Design. - Lars Nolle; J. A. Bland (SGAI Conf., 2010)

Optimal image colour extraction by differential evolution. - Gerald Schaefer; Lars Nolle (Int. J. Bio Inspired Comput., 2010)

Intelligent Computational Optimization in Engineering: Techniques and Applications. - Lars Nolle; Mario Köppen; Gerald Schaefer; Ajith Abraham (Intelligent Computational Optimization in Engineering, 2011)

Improving WRF-ARW Wind Speed Predictions using Genetic Programming. - Giovanna Martínez-Arellano; Lars Nolle; John A. Bland (SGAI Conf., 2012)

Biologically inspired speaker verification using Spiking Self-Organising Map. - Tariq Tashan; Tony Allen; Lars Nolle (SGAI Conf., 2012)

Self-adaptive stepsize search for automatic optimal design. - Lars Nolle; J. A. Bland (Knowl. Based Syst., 2012)

Analysing and attacking the 4-way handshake of IEEE 802.11i standard. - Abdullah A. Alabdulatif; Xiaoqi Ma; Lars Nolle (ICITST, 2013)

Genetic Programming for Wind Power Forecasting and Ramp Detection. - Giovanna Martínez-Arellano; Lars Nolle (SGAI Conf., 2013)

Prediction of Jet Engine Parameters for Control Design Using Genetic Programming. - Giovanna Martínez-Arellano; Richard J. Cant; Lars Nolle (UKSim, 2014)

Speaker verification using heterogeneous neural network architecture with linear correlation speech activity detection. - Tariq Tashan; Tony Allen; Lars Nolle (Expert Syst. J. Knowl. Eng., 2014)

Characterisation of Large Changes in Wind Power for the Day-Ahead Market Using a Fuzzy Logic Approach. - Giovanna Martínez-Arellano; Lars Nolle; Richard J. Cant; Ahmad Lotfi; Christopher Windmill (Künstliche Intell., 2014)

Self-Adaptive Stepsize Search Applied To Robust Engineering Design Optimisation. - Ralph Krause; Lars Nolle; Richard J. Cant (ECMS, 2015)

A Hybrid Color Quantization Algorithm Incorporating a Human Visual Perception Model. - Gerald Schaefer; Lars Nolle (Comput. Intell., 2015)

Simulation Of Submarine Groundwater Discharge Of Dissolved Organic Matter Using Cellular Automata. - Lars Nolle; Holger Thormaehlen; Harald Musa (ECMS, 2016)

Spice Model Generation from EM Simulation Data Using Integer Coded Genetic Algorithms. - Jens Werner; Lars Nolle (SGAI Conf., 2016)

On The Effect Of Neighborhood Schemes And Cell Shape On The Behaviour Of Cellular Automata Applied To The Simulation Of Submarine Groundwater Discharge. - Christoph Tholen; Lars Nolle; Oliver Zielinski (ECMS, 2017)

Application Of Genetic Optimization Algorithms To Lumped Circuit Modelling Of Coupled Planar Coils. - Jens Werner; Lars Nolle; Jennifer Schuett (ECMS, 2017)

On the Influence of Localisation and Communication Error on the Behaviour of a Swarm of Autonomous Underwater Vehicles. - Christoph Tholen; Lars Nolle; Jens Werner (MENDEL, 2017)

Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data. - Lars Nolle; Jens Werner (SGAI Conf., 2017)

Parameter Search for a Small Swarm of AUVs Using Particle Swarm Optimisation. - Christoph Tholen; Lars Nolle (SGAI Conf., 2017)

Speaker verification inspired by the physiology of hearing using spiking self-organising map. - Tariq Tashan; Tony Allen; Lars Nolle (Expert Syst. J. Knowl. Eng., 2017)

Blind Search Patterns For Off-Line Path Planning. - Tarek A. El-Mihoub; Christoph Tholen; Lars Nolle (ECMS, 2018)

On A Novel Search Strategy Based On A Combination Of Particle Swarm Optimisation And Levy-Flight. - Christoph Tholen; Tarek A. El-Mihoub; Lars Nolle (ECMS, 2018)

Informed Search Patterns For Alleviating The Impact Of The Localisation Problem. - Tarek A. El-Mihoub; Christoph Tholen; Lars Nolle (ECMS, 2019)

Investigation Into The Behaviour Of An Asynchronous Population Based Hill Climbing Algorithm. - Lars Nolle; Jens Werner (ECMS, 2019)

Automated Tuning Of A Cellular Automata Using Parallel Asynchronous Particle Swarm Optimisation. - Christoph Tholen; Lars Nolle; Tarek A. El-Mihoub; Jan Dierks; Alexandra Burger; Oliver Zielinski (ECMS, 2019)

Using The CMA Evolution Strategy For Locating Submarine Groundwater Discharge. - Tarek A. El-Mihoub; Christoph Tholen; Lars Nolle (ECMS, 2020)

Optimal Receiver Configuration Of Short-Baseline Localisation Systems Using Particle Swarm Optimisation. - Christoph Tholen; Tarek A. El-Mihoub; Lars Nolle; Oliver Ralle; Robin Rofallski (ECMS, 2020)

AI Enabled Bio Waste Contamination-Scanner. - Frederic T. Stahl; Oliver Ferdinand; Lars Nolle; Alexandra Pehlken; Oliver Zielinski (SGAI Conf., 2021)

Self-adaptive learning for hybrid genetic algorithms. - Tarek A. El-Mihoub; Adrian A. Hopgood; Lars Nolle (Evol. Intell., 2021)

A Simple Algorithm Selector For Continuous Optimisation Problems. - Tarek A. El-Mihoub; Christoph Tholen; Lars Nolle (ECMS, 2022)

A Model For Predicting The Amount Of Photosynthetically Available Radiation From BGC-ARGO Float Observations In The Water Column. - Frederic T. Stahl; Lars Nolle; Ahlem Jemai; Oliver Zielinski (ECMS, 2022)

Optimised Bumblebee Paths As Search Strategy For Autonomous Underwater Vehicles. - Christoph Tholen; Lars Nolle; Tarek A. El-Mihoub; Oliver Zielinski (ECMS, 2022)

Explainable Boosting Machines for Network Intrusion Detection with Features Reduction. - Tarek A. El-Mihoub; Lars Nolle; Frederic T. Stahl (SGAI Conf., 2022)

On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column. - Martin M. Kumm; Lars Nolle; Frederic T. Stahl; Ahlem Jemai; Oliver Zielinski (SGAI Conf., 2022)

Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery. - Ammar Memari; Van Cuong Dam; Lars Nolle (SGAI Conf., 2022)

On Explanations for Hybrid Artificial Intelligence. - Lars Nolle; Frederic T. Stahl; Tarek A. El-Mihoub (SGAI Conf., 2023)

On the Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem. - Till Schlüsselburg; Christoph Tholen; Lars Nolle (SGAI Conf., 2023)

On The Performance Evaluation Of Synchronous And Asynchronous Parallel Particle Swarm Optimisation. - Christoph Tholen; Lars Nolle (ECMS, 2024)

Model Generalisation For Predicting The Amount Of Photosynthetically Available Radiation In The Water Column From Freefall Profiler Observations. - Christoph Tholen; Lars Nolle; Jochen Wollschlaeger; Frederic T. Stahl (ECMS, 2024)

Interactive Simulator Framework for XAI Applications in Aquatic Environments. - Ahmed H. Elsayed; Tarek A. El-Mihoub; Christoph Manss; André Miedtank; Lars Nolle; Frederic T. Stahl (SGAI Conf. (1), 2024)

Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem. - Lars Nolle; Nils Meinardus; Martin M. Kumm; Christoph Tholen (SGAI Conf. (2), 2024)

On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications. - Christoph Tholen; Eike Rodenbäck; Lars Nolle; Robert Rettig; Frederic T. Stahl (SGAI Conf. (1), 2024)

On The Location-Independent Reconstruction Of Photosynthetically Active Radiation In The Water Column Using Neural Networks. - Martin Maximilian Kumm; Christoph Tholen; Lars Nolle; Frederic T. Stahl (ECMS, 2025)

On The Optimisation Of Machine Learning Models For Predicting The Photosynthetically Available Radiation In The Water Column. - Frederic T. Stahl; Lars Nolle; Martin Maximilian Kumm; Christoph Tholen (ECMS, 2025)