# Xianneng Li

According to our database

Collaborative distances:

^{1}, Xianneng Li authored at least 27 papers between 2010 and 2019.Collaborative distances:

## Timeline

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#### On csauthors.net:

## Bibliography

2019

Flexible time-of-use tariff with dynamic demand using artificial bee colony with transferred memory scheme.

Swarm and Evolutionary Computation, 2019

2018

Niching genetic network programming with rule accumulation for decision making: An evolutionary rule-based approach.

Expert Syst. Appl., 2018

Revisiting Genetic Network Programming (GNP): Towards the Simplified Genetic Operators.

IEEE Access, 2018

Analysis of Population Size in Artificial Bee Colony Algorithm.

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

A Mixed Artificial Bee Colony Algorithm for the Time-of-Use Pricing Optimization.

Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Accelerating artificial bee colony algorithm with neighborhood search.

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Artificial bee colony algorithm with memory.

Appl. Soft Comput., 2016

Transferable XCS.

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

Search experience-based search adaptation in artificial bee colony algorithm.

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Continuous probabilistic model building genetic network programming using reinforcement learning.

Appl. Soft Comput., 2015

2014

A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning.

IEEE Trans. Evolutionary Computation, 2014

Evolving directed graphs with artificial bee colony algorithm.

Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

Adaptive Genetic Network Programming.

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Generalized classifier system: Evolving classifiers with cyclic conditions.

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Learning and evolution of genetic network programming with knowledge transfer.

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Creating stock trading rules using graph-based estimation of distribution algorithm.

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

A Learning Classifier System Based on Genetic Network Programming.

Proceedings of the IEEE International Conference on Systems, 2013

Genetic Network Programming with Simplified Genetic Operators.

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Extended rule-based genetic network programming.

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Towards automatic discovery and reuse of subroutines in Variable Size Genetic Network Programming.

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning.

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Use of infeasible individuals in probabilistic model building genetic network programming.

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Variable Size Genetic Network Programming with Binomial Distribution.

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning.

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Optimal route planning with restrictions for car navigation systems.

Proceedings of the IEEE International Conference on Systems, 2010

Generalized rule extraction and traffic prediction in the optimal route search.

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction.

Proceedings of the IEEE Congress on Evolutionary Computation, 2010