Kyle Robert Harrison

Appl. Soft Comput., October, 2023

A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning.

[BibT_eX]

[DOI]

Liam J. S. McDevitt

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Solving a novel multi-divisional project portfolio selection and scheduling problem.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2022

Image-based benchmarking and visualization for large-scale global optimization.

[BibT_eX]

[DOI]

Appl. Intell., 2022

A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design.

[BibT_eX]

[DOI]

IEEE Access, 2021

Project portfolio selection with defense capability options.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Portfolio Optimization for Defence Applications.

[BibT_eX]

[DOI]

IEEE Access, 2020

Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

A parameter-free particle swarm optimization algorithm using performance classifiers.

[BibT_eX]

[DOI]

Inf. Sci., 2019

An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2018

Self-adaptive particle swarm optimization: a review and analysis of convergence.

[BibT_eX]

[DOI]

Swarm Intell., 2018

The bi-objective critical node detection problem.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2018

Gaussian-Valued Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017

An adaptive particle swarm optimization algorithm based on optimal parameter regions.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimal parameter regions for particle swarm optimization algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis.

[BibT_eX]

[DOI]

Swarm Intell., 2016

A meta-analysis of centrality measures for comparing and generating complex network models.

[BibT_eX]

[DOI]

J. Comput. Sci., 2016

Automatic inference of graph models for directed complex networks using genetic programming.

[BibT_eX]

[DOI]

Michael Richard Medland

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A radius-free quantum particle swarm optimization technique for dynamic optimization problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The sad state of self-adaptive particle swarm optimizers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Investigating Fitness Measures for the Automatic Construction of Graph Models.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

2014

Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks.

[BibT_eX]

[DOI]

Michael Richard Medland

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Incorporating expert knowledge in object-oriented genetic programming.

[BibT_eX]

[DOI]

Michael Richard Medland

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A scalability study of multi-objective particle swarm optimizers.

[BibT_eX]

[DOI]