Isidro M. Alvarez

According to our database, Isidro M. Alvarez authored at least 8 papers between 2014 and 2020.

Collaborative distances:

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

2020

A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.

Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang

CoRR, 2020

2017

Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.

Isidro M. Alvarez

PhD thesis, 2017

2016

Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Integration of code-fragment based learning classifier systems for multiple domain perception and learning.

Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Compaction for code fragment based learning classifier systems - Redux.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Compaction for Code Fragment Based Learning Classifier Systems.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the Artificial Life and Computational Intelligence, 2016

2014

Reusing Learned Functionality to Address Complex Boolean Functions.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features.

Isidro M. Alvarez, Will N. Browne, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2014