A low cost distributed expert system delivery environment for monitoring and control applications. - Tim Hendtlass; Simon Goss (ANNES, 1993)

The discrimination of short acoustic events by artificial neural networks. - Tim Hendtlass; Janice Wells (ANNES, 1993)

Engram decay in artificial neural networks. - Howard Copland; Tim Hendtlass (ICNN, 1995)

A self organizing artificial neural network with problem dependent structure. - Tim Hendtlass (ICNN, 1995)

Using a Combination of Genetic Algorithm and Hill Climbing Techniques for the Solution of a Difficult Letter Recognition Problem. - John R. Podlena; Tim Hendtlass (IEA/AIE, 1995)

Better Neurons for Biological Simulations. - Howard Copeland; Tim Hendtlass (IEA/AIE, 1996)

An Evolutionary Algorithm for The Generation of Unsupervised Self Organizing Neural Nets. - Tim Hendtlass (IEA/AIE, 1996)

A Cascade of Neural Networks for Complex Classification. - David Philpot; Tim Hendtlass (IEA/AIE, 1996)

Using The Baldwin Effect to Accelerate A Genetic Algorithm. - John R. Podlena; Tim Hendtlass (IEA/AIE, 1996)

Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms. - Howard Copland; Tim Hendtlass (ICANNGA, 1997)

Ensembles of Neural Networks for Digital Problems. - David Philpot; Tim Hendtlass (ICANNGA, 1997)

Using Hierarchical Genetic Populations to Improve Solution Quality. - John R. Podlena; Tim Hendtlass (ICANNGA, 1997)

Using Evolution to Develop Look Up Tables for Congruent Data Sets. - Tim Hendtlass (ICONIP (1), 1997)

An Evolutionary Algorithm with a Genetic Encoding Scheme. - Howard Copeland; Tim Hendtlass (IEA/AIE (Vol. 1), 1998)

Generating Lookup Tables Using Evolutionary Algorithms. - Tim Hendtlass (IEA/AIE (Vol. 1), 1998)

Ensembles of Neural Networks for Analogue Problems. - David Philpot; Tim Hendtlass (IEA/AIE (Vol. 1), 1998)

An Accelerated Genetic Algorithm. - John R. Podlena; Tim Hendtlass (Appl. Intell., 1998)

The Parallel Path Artificial Micronet. - Gerard Murray; Tim Hendtlass; John R. Podlena (IEA/AIE, 1999)

SOMulANT: Organizing Information Using Multiple Agents. - Tim Hendtlass (IEA/AIE, 2000)

A Combined Swarm Differential Evolution Algorithm for Optimization Problems. - Tim Hendtlass (IEA/AIE, 2001)

Enhanced Artificial Neurons for Network Applications. - Gerard Murray; Tim Hendtlass (IEA/AIE, 2001)

Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms. - Clinton Woodward; Tim Hendtlass (IEA/AIE, 2001)

Ant Colony Optimisation Applied to a Dynamically Changing Problem. - Daniel Angus; Tim Hendtlass (IEA/AIE, 2002)

The Suitability of Particle Swarm Optimisation for Training Neural Hardware. - David Braendler; Tim Hendtlass (IEA/AIE, 2002)

The Macronet Element: A Substitute for the Conventional Neuron. - Tim Hendtlass; Gerard Murray (IEA/AIE, 2002)

A Fast Evolutionary Algorithm for Image Compression in Hardware. - Mehrdad Salami; Tim Hendtlass (IEA/AIE, 2002)

A Fitness Estimation Strategy for Genetic Algorithms. - Mehrdad Salami; Tim Hendtlass (IEA/AIE, 2002)

Deterministic bit-stream digital neurons. - David Braendler; Tim Hendtlass; Peter G. O'Donoghue (IEEE Trans. Neural Networks, 2002)

Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System. - K. Foster; Tim Hendtlass (HIS, 2003)

Preserving Diversity in Particle Swarm Optimisation. - Tim Hendtlass (IEA/AIE, 2003)

Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data. - Hans Pierrot; Tim Hendtlass (IEA/AIE, 2003)

A fast evaluation strategy for evolutionary algorithms. - Mehrdad Salami; Tim Hendtlass (Appl. Soft Comput., 2003)

Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation. - James Montgomery 001; Marcus Randall; Tim Hendtlass (ANTS Workshop, 2004)

A Comparison of Neural Network Input Vector Selection Techniques. - Belinda Choi; Tim Hendtlass; Kevin Bluff (IEA/AIE, 2004)

TSP Optimisation Using Multi Tour Ants. - Tim Hendtlass (IEA/AIE, 2004)

Evolutionary Computation Using Island Populations in Time. - Ben Prime; Tim Hendtlass (IEA/AIE, 2004)

WoSP: a multi-optima particle swarm algorithm. - Tim Hendtlass (Congress on Evolutionary Computation, 2005)

Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems. - James Montgomery 001; Marcus Randall; Tim Hendtlass (IEA/AIE, 2005)

A particle swarm algorithm for high dimensional, multi-optima problem spaces. - Tim Hendtlass (SIS, 2005)

Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization. - James Montgomery 001; Marcus Randall; Tim Hendtlass (Artif. Life, 2005)

Dynamic Ant Colony Optimisation. - Daniel Angus; Tim Hendtlass (Appl. Intell., 2005)

Developments in Applied Artificial Intelligence: Guest Editor's Introduction. - Tim Hendtlass (Appl. Intell., 2005)

The Fast Evaluation Strategy for Evolvable Hardware. - Mehrdad Salami; Tim Hendtlass (Genet. Program. Evolvable Mach., 2005)

A Particle Swarm Algorithm for Complex Quantised Problem Spaces. - Tim Hendtlass (IEEE Congress on Evolutionary Computation, 2006)

Solving Problems with Hidden Dynamics - Comparison of Extremal Optimisation and Ant Colony System. - Irene Moser; Tim Hendtlass (IEEE Congress on Evolutionary Computation, 2006)

Dynamic Problems and Nature Inspired Meta-Heuristics. - Tim Hendtlass; Irene Moser; Marcus Randall (e-Science, 2006)

On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics. - Irene Moser; Tim Hendtlass (IEA/AIE, 2006)

Using a modified counter-propagation algorithm to classify conjoined data. - Hans Pierrot; Tim Hendtlass (Appl. Intell., 2006)

Waves of Swarm Particles (WoSP). - Tim Hendtlass (Swarm Intelligent Systems, 2006)

Mechanisms for Evolutionary Reincarnation. - Ben Prime; Tim Hendtlass (ACAL, 2007)

Fitness estimation and the particle swarm optimisation algorithm. - Tim Hendtlass (IEEE Congress on Evolutionary Computation, 2007)

A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. - Irene Moser; Tim Hendtlass (IEEE Congress on Evolutionary Computation, 2007)

Solving Dynamic Single-Runway Aircraft Landing Problems With Extremal Optimisation. - Irene Moser; Tim Hendtlass (CISched, 2007)

An evolutionary reincarnation algorithm. - Ben Prime; Tim Hendtlass (IEEE Congress on Evolutionary Computation, 2008)

Collective intelligence and bush fire spotting. - David J. Howden; Tim Hendtlass (GECCO, 2008)

Extremal Optimisation and Bin Packing. - Tim Hendtlass; Marcus Randall (SEAL, 2008)

Solution bias in ant colony optimisation: Lessons for selecting pheromone models. - James Montgomery 001; Marcus Randall; Tim Hendtlass (Comput. Oper. Res., 2008)

The Particle Swarm Algorithm. - Tim Hendtlass (Computational Intelligence: A Compendium, 2008)

A Heterogeneous Particle Swarm. - Luke Cartwright; Tim Hendtlass (ACAL, 2009)

Particle Swarm Optimisation and high dimensional problem spaces. - Tim Hendtlass (IEEE Congress on Evolutionary Computation, 2009)

Quantised Problem Spaces and the Particle Swarm Algorithm. - Tim Hendtlass (Natural Intelligence for Scheduling, Planning and Packing Problems, 2009)

Improving exploration in Ant Colony Optimisation with antennation. - Christopher Beer; Tim Hendtlass; James Montgomery 001 (IEEE Congress on Evolutionary Computation, 2012)

Restarting Particle Swarm Optimisation for deceptive problems. - Tim Hendtlass (IEEE Congress on Evolutionary Computation, 2012)

A network that uses parametric weights. - Tim Hendtlass; Hans Pierrot (IJCNN, 2016)

Improved Exploration and Exploitation in Particle Swarm Optimization. - Dania Tamayo-Vera; Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Tim Hendtlass (IEA/AIE, 2018)

An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution. - Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Tim Hendtlass (CEC, 2019)

The EZopt Optimisation Framework. - Tim Hendtlass (CEC, 2019)

Evolving Musical Sight Reading Exercises Using Expert Models. - Charlotte Pierce; Tim Hendtlass; Anthony Bartel; Clinton J. Woodward (Frontiers Artif. Intell., 2020)

A Random Walk Analysis of Search in Metaheuristics. - Stephen Chen 001; Shehnaz Islam; Antonio Bolufé Röhler; James Montgomery 001; Tim Hendtlass (CEC, 2021)

Measuring the Effects of Increasing Dimensionality on Fitness-Based Selection and Failed Exploration. - Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Dania Tamayo-Vera; Tim Hendtlass (CEC, 2022)

Using Average-Fitness Based Selection to Combat the Curse of Dimensionality. - Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Wenxuan Zhang; Tim Hendtlass (CEC, 2022)