Alan P. Reynolds

Orcid: 0000-0001-9196-6510

According to our database1, Alan P. Reynolds authored at least 20 papers between 2003 and 2018.

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

Timeline

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Bibliography

2018
Multi-objective evolutionary algorithms for quantum circuit discovery.
CoRR, 2018

2013
Short term wind speed forecasting with evolved neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Swarm Intelligence.
Proceedings of the Handbook of Natural Computing, 2012

Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011
Optimization by precomputation.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A parallel BOA-PSO hybrid algorithm for history matching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task.
Proceedings of the Parallel Problem Solving from Nature, 2010

Optimisation and Generalisation: Footprints in Instance Space.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
A multi-objective GRASP for partial classification.
Soft Comput., 2009

A multiobjective GRASP for rule selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Noisy Multiobjective Optimization on a Budget of 250 Evaluations.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008
Swarm Intelligence: A Tutorial Account.
Bull. EATCS, 2008

2007
Rule Induction for Classification Using Multi-objective Genetic Programming.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

2006
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms.
J. Math. Model. Algorithms, 2006

Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

2004
The Application of K-Medoids and PAM to the Clustering of Rules.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification.
Proceedings of the Applications of Evolutionary Computing, 2003


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