Kyle Erwin

According to our database, Kyle Erwin authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Meta-heuristics for portfolio optimization.

Kyle Erwin, Andries P. Engelbrecht

Soft Comput., December, 2023

Feature-Based Complexity Measure for Multinomial Classification Datasets.

Kyle Erwin, Andries P. Engelbrecht

Entropy, July, 2023

Multi-Guide Set-Based Particle Swarm Optimization for Multi-Objective Portfolio Optimization.

Kyle Erwin, Andries P. Engelbrecht

Algorithms, February, 2023

Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis.

Kyle Erwin, Andries P. Engelbrecht

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Meta-heuristics for Portfolio Optimization: Part I - Review of Meta-heuristics.

Kyle Erwin, Andries P. Engelbrecht

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge.

Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Improved Hamming Diversity Measure for Set-Based Optimization Algorithms.

Kyle Erwin, Andries P. Engelbrecht

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

2021

A Tuning Free Approach to Multi-guide Particle Swarm Optimization.

Kyle Erwin, Andries P. Engelbrecht

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization.

Kyle Erwin, Andries P. Engelbrecht

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Improved Set-based Particle Swarm optimization for Portfolio optimization.

Kyle Erwin, Andries P. Engelbrecht

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

Set-Based Particle Swarm Optimization for Portfolio Optimization.

Kyle Erwin, Andries P. Engelbrecht

Proceedings of the Swarm Intelligence - 12th International Conference, 2020

2019

Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm.

Kyle Erwin, Andries P. Engelbrecht

Proceedings of the Genetic and Evolutionary Computation Conference, 2019