Tim Hendtlass

Tim Hendtlass, Janice Wells, T. Hendtlass, 1993, Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Better Neurons for Biological Simulations

Tim Hendtlass, Howard Copeland, 1996, IEA/AIE.

A survey of ant colony and particle swarm meta-heuristics and their application to discrete optimisation problems

Marcus Randall, Tim Hendtlass, 2001 .

Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems

Marcus Randall, Tim Hendtlass, James Montgomery, 2005, IEA/AIE.

Improving exploration in Ant Colony Optimisation with antennation

Tim Hendtlass, James Montgomery, Christopher Beer, 2012, 2012 IEEE Congress on Evolutionary Computation.

A Comparison of Neural Network Input Vector Selection Techniques

Tim Hendtlass, Kevin Bluff, Belinda Choi, 2004, IEA/AIE.

A Fitness Estimation Strategy for Genetic Algorithms

Mehrdad Salami, Tim Hendtlass, 2002, IEA/AIE.

A Cascade of Neural Networks for Complex Classification

Tim Hendtlass, David Philpot, 1996, IEA/AIE.

Fitness estimation and the particle swarm optimisation algorithm

Tim Hendtlass, 2007, 2007 IEEE Congress on Evolutionary Computation.

Artificial Life and Computational Intelligence

Xiaodong Li, Tim Hendtlass, Markus Wagner, 2016, Lecture Notes in Computer Science.

Improving the performance of ant colony optimisation algorithms using biased visibility

Tim Hendtlass, Irene Moser, 2004 .

The Parallel Path Artificial Micronet

Tim Hendtlass, John R. Podlena, Gerard Murray, 1999, IEA/AIE.

A modified evolutionary algorithm applied to neural network design

Tim Hendtlass, John R. Podlena, 1995 .

Deterministic bit-stream digital neurons

Tim Hendtlass, Peter G. O'Donoghue, David Braendler, 2002, IEEE Trans. Neural Networks.

Preserving Diversity in Particle Swarm Optimisation

Tim Hendtlass, T. Hendtlass, 2003, IEA/AIE.

Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence

Tim Hendtlass, Moonis Ali, 2002 .

Evolutionary computation and hybrid systems

Tim Hendtlass, 2002 .

A distributed data acquisition and decision making system

Tim Hendtlass, 1994 .

TSP Optimisation Using Multi Tour Ants

Tim Hendtlass, 2004, IEA/AIE.

Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms

Tim Hendtlass, Clinton J. Woodward, T. Hendtlass, 2001, IEA/AIE.

Improving the performance of ant colony optimisation algorithms using biased optimisation visibility

Tim Hendtlass, Irene Moser, 2008 .

An Accelerated Genetic Algorithm

Tim Hendtlass, John R. Podlena, J. R. Podlena, 1998, Applied Intelligence.

Dynamic Ant Colony Optimisation

Tim Hendtlass, Daniel Angus, 2005, Applied Intelligence.

Developments in Applied Artificial Intelligence

J. van Leeuwen, Tim Hendtlass, Moonis Ali Eds, 2002, Lecture Notes in Computer Science.

Enhanced Artificial Neurons for Network Applications

Tim Hendtlass, Gerard Murray, T. Hendtlass, 2001, IEA/AIE.

Quantised Problem Spaces and the Particle Swarm Algorithm

Tim Hendtlass, 2009, Natural Intelligence for Scheduling, Planning and Packing Problems.

Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System

Tim Hendtlass, K. Foster, T. Hendtlass, 2003, HIS.

Improved Exploration and Exploitation in Particle Swarm Optimization

Tim Hendtlass, Antonio Bolufé Röhler, James Montgomery, 2018, IEA/AIE.

A Particle Swarm Algorithm for Complex Quantised Problem Spaces

Tim Hendtlass, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization

Marcus Randall, Tim Hendtlass, James Montgomery, 2005, Artificial Life.

Solving Problems with Hidden Dynamics – Comparison of Extremal Optimisation and Ant Colony System

Tim Hendtlass, Irene Moser, T. Hendtlass, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms

Tim Hendtlass, Howard Copland, 1997, ICANNGA.

Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation

Marcus Randall, Tim Hendtlass, James Montgomery, 2004, ANTS Workshop.

Using Evolution to Develop Look Up Tables for Congruent Data Sets

Tim Hendtlass, 1997, ICONIP.

Particle Swarm Optimisation and high dimensional problem spaces

Tim Hendtlass, T. Hendtlass, 2009, 2009 IEEE Congress on Evolutionary Computation.

A network that uses parametric weights

Tim Hendtlass, Hans Pierrot, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A low cost distributed expert system delivery environment for monitoring and control applications

Tim Hendtlass, Simon Goss, 1993, Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Evolutionary computation using Island populations in time

Tim Hendtlass, Ben Prime, 2004 .

Extremal Optimisation and Bin Packing

Marcus Randall, Tim Hendtlass, M. Randall, 2008, SEAL.

Restarting Particle Swarm Optimisation for deceptive problems

Tim Hendtlass, 2012, 2012 IEEE Congress on Evolutionary Computation.

A comparison of neural network input vector selection techniques

Tim Hendtlass, Kevin Bluff, Belinda Choi, 2004 .

Developments in Applied Artificial Intelligence: Guest Editor’s Introduction

Tim Hendtlass, 2005, Applied Intelligence.

Solving Dynamic Single-Runway Aircraft Landing Problems With Extremal Optimisation

Tim Hendtlass, Irene Moser, 2007, 2007 IEEE Symposium on Computational Intelligence in Scheduling.