Marcus Randall
Orcid: 0000-0003-2325-1032Affiliations:
- Bond University, Gold Coast, Australia
- Griffith University, Nathan, QLD, Australia (PhD 1998)
According to our database1,
Marcus Randall
authored at least 51 papers
between 1998 and 2020.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2020
J. Comput. Sci., 2020
Proceedings of the Computational Science - ICCS 2020, 2020
2019
A model for a reliable single allocation hub network design under massive disruption.
Appl. Soft Comput., 2019
Proceedings of the Computational Science - ICCS 2019, 2019
2018
A Computational Comparison of Evolutionary Algorithms for Water Resource Planning for Agricultural and Environmental Purposes.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2016
Inf. Sci., 2016
2015
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the Artificial Life and Computational Intelligence, 2015
2014
Local Search Enabled Extremal Optimisation for Continuous Inseparable Multi-objective Benchmark and Real-world Problems.
Proceedings of the International Conference on Computational Science, 2014
Extending the Front: Designing RFID Antennas Using Multiobjective Differential Evolution with Biased Population Selection.
Proceedings of the International Conference on Computational Science, 2014
2013
Interactive multi-objective particle swarm optimisation using decision space interaction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Investigating the Effect of Fixing the Subset Length Using Ant Colony Optimization Algorithms for Feature Subset Selection Problems.
Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012
Proceedings of the EVOLVE, 2012
Proceedings of the EVOLVE, 2012
2011
Int. J. Metaheuristics, 2011
Differential evolution for RFID antenna design: a comparison with ant colony optimisation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010
Proceedings of the Sixth International Conference on e-Science, 2010
A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Optimising efficiency and gain of small meander line RFID antennas using ant colony system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009
2008
Comput. Oper. Res., 2008
Solution approaches for the capacitated single allocation hub location problem using ant colony optimisation.
Comput. Optim. Appl., 2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Extremal Optimisation with a Penalty Approach for the Multidimensional Knapsack Problem.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Local search for Ant colony system to improve the efficiency of small meander line RFID antennas.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the New Trends in Applied Artificial Intelligence, 2007
Using Ant Colony Optimisation to Improve the Efficiency of Small Meander Line RFID Antennas.
Proceedings of the Third International Conference on e-Science and Grid Computing, 2007
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007
2006
Search Space Reduction as a Tool for Achieving Intensification and Diversification in Ant Colony Optimisation.
Proceedings of the Advances in Applied Artificial Intelligence, 2006
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006
2005
Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization.
Artif. Life, 2005
Proceedings of the Innovations in Applied Artificial Intelligence, 2005
Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005
Proceedings of the Recent Advances in Artificial Life, 2005
Chapter 16 A Dynamic Optimisation Approach for Ant Colony Optimisation Using the Multidimensional Knapsack Problem.
Proceedings of the Recent Advances in Artificial Life, 2005
2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004
Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004
2003
Int. J. Comput. Intell. Appl., 2003
A Template Approach to Producing Incremental Objective Cost Functions for Local Search Meta-heuristics.
Proceedings of the Applications of Evolutionary Computing, 2003
2002
J. Parallel Distributed Comput., 2002
J. Comb. Optim., 2002
Proceedings of the Developments in Applied Artificial Intelligence, 2002
Proceedings of the Ant Algorithms, Third International Workshop, 2002
Proceedings of the Ant Algorithms, Third International Workshop, 2002
2001
Comput. Optim. Appl., 2001
Proceedings of the Engineering of Intelligent Systems, 2001
1999
Ann. Oper. Res., 1999
1998
Proceedings of the Fourth International Symposium on High-Performance Computer Architecture, Las Vegas, Nevada, USA, January 31, 1998