Borhan Kazimipour

Orcid: 0000-0002-2191-9409

According to our database1, Borhan Kazimipour authored at least 12 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2019
Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems.
Appl. Soft Comput., 2019

Differences in language use: Insights from job and talent search.
Proceedings of the 24th Australasian Document Computing Symposium, 2019

2018
An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput., 2017

2016
CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A multilevel memory-assisted lossless compression algorithm for medical images.
Proceedings of the 23rd European Signal Processing Conference, 2015

A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Why Advanced Population Initialization Techniques Perform Poorly in High Dimension?
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A review of population initialization techniques for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Effects of population initialization on differential evolution for large scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Initialization methods for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013


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