Alan P. Reynolds

According to our database, Alan P. Reynolds authored at least 21 papers between 2003 and 2018.

Collaborative distances:

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

2018

Multi-objective evolutionary algorithms for quantum circuit discovery.

Václav Potocek, Alan P. Reynolds, Alessandro Fedrizzi, David W. Corne

CoRR, 2018

2013

Short term wind speed forecasting with evolved neural networks.

David Corne, Alan P. Reynolds, Stuart J. Galloway, Edward Owens, Andrew M. Peacock

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Swarm Intelligence.

David W. Corne, Alan P. Reynolds, Eric Bonabeau

Proceedings of the Handbook of Natural Computing, 2012

Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching.

Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie, Brian Davies, Glyn Williams

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011

Optimization by precomputation.

David Corne, Alan P. Reynolds

Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems.

David Corne, Alan P. Reynolds

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

A parallel BOA-PSO hybrid algorithm for history matching.

Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie, Brian Davies, Glyn Williams

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task.

Alan P. Reynolds, David W. Corne, Michael J. Chantler

Proceedings of the Parallel Problem Solving from Nature, 2010

Optimisation and Generalisation: Footprints in Instance Space.

David W. Corne, Alan P. Reynolds

Proceedings of the Parallel Problem Solving from Nature, 2010

2009

A multi-objective GRASP for partial classification.

Alan P. Reynolds, Beatriz de la Iglesia

Soft Comput., 2009

A multiobjective GRASP for rule selection.

Alan P. Reynolds, David W. Corne, Beatriz de la Iglesia

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Noisy Multiobjective Optimization on a Budget of 250 Evaluations.

Joshua D. Knowles, David Corne, Alan P. Reynolds

Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008

Swarm Intelligence: A Tutorial Account.

David W. Corne, Alan P. Reynolds

Bull. EATCS, 2008

2007

Construction of factory schedules using reverse simulation.

Alan P. Reynolds, Geoff P. McKeown

Eur. J. Oper. Res., 2007

Rule Induction for Classification Using Multi-objective Genetic Programming.

Alan P. Reynolds, Beatriz de la Iglesia

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.

Alan P. Reynolds, Beatriz de la Iglesia

Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

2006

Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms.

Alan P. Reynolds, Graeme Richards, Beatriz de la Iglesia, Victor J. Rayward-Smith

J. Math. Model. Algorithms, 2006

Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity.

Alan P. Reynolds, Beatriz de la Iglesia

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.

Beatriz de la Iglesia, Alan P. Reynolds, Victor J. Rayward-Smith

Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

2004

The Application of K-Medoids and PAM to the Clustering of Rules.

Alan P. Reynolds, Graeme Richards, Victor J. Rayward-Smith

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification.

Alan P. Reynolds, Jo L. Dicks, Ian N. Roberts, Jan-Jaap Wesselink, Beatriz de la Iglesia, Vincent Robert, Teun Boekhout, Victor J. Rayward-Smith

Proceedings of the Applications of Evolutionary Computing, 2003