Alan P. Reynolds

21 papers A 1B 2C 4Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2018 J jnl
Multi-objective evolutionary algorithms for quantum circuit discovery.
CoRR
Václav Potocek, Alan P. Reynolds, Alessandro Fedrizzi, David W. Corne
2013 — conf
Short term wind speed forecasting with evolved neural networks.
GECCO (Companion)
David Corne, Alan P. Reynolds, Stuart J. Galloway, Edward Owens, Andrew M. Peacock
2012 — conf
Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching.
PPSN (2)
Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie, Brian Davies, Glyn Williams
2012 — ch.
Swarm Intelligence.
Handbook of Natural Computing
David W. Corne, Alan P. Reynolds, Eric Bonabeau
2011 B conf
A parallel BOA-PSO hybrid algorithm for history matching.
IEEE Congress on Evolutionary Computation
Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie, Brian Davies, Glyn Williams
2011 — conf
Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems.
GECCO (Companion)
David Corne, Alan P. Reynolds
2011 — conf
Optimization by precomputation.
NaBIC
David Corne, Alan P. Reynolds
2010 — conf
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task.
PPSN (1)
Alan P. Reynolds, David W. Corne, Michael J. Chantler
2010 — conf
Optimisation and Generalisation: Footprints in Instance Space.
PPSN (1)
David W. Corne, Alan P. Reynolds
2009 J jnl
A multi-objective GRASP for partial classification.
Soft Comput.
Alan P. Reynolds, Beatriz de la Iglesia
2009 A conf
A multiobjective GRASP for rule selection.
GECCO
Alan P. Reynolds, David W. Corne, Beatriz de la Iglesia
2009 C conf
Noisy Multiobjective Optimization on a Budget of 250 Evaluations.
EMO
Joshua D. Knowles, David Corne, Alan P. Reynolds
2008 J jnl
Swarm Intelligence: A Tutorial Account.
Bull. EATCS
David W. Corne, Alan P. Reynolds
2007 J jnl
Construction of factory schedules using reverse simulation.
Eur. J. Oper. Res.
Alan P. Reynolds, Geoff P. McKeown
2007 — conf
Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining.
MCDM
Alan P. Reynolds, Beatriz de la Iglesia
2007 C conf
Rule Induction for Classification Using Multi-objective Genetic Programming.
EMO
Alan P. Reynolds, Beatriz de la Iglesia
2006 J jnl
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms.
J. Math. Model. Algorithms
Alan P. Reynolds, Graeme Richards, Beatriz de la Iglesia, Victor J. Rayward-Smith
2006 B conf
Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity.
IJCNN
Alan P. Reynolds, Beatriz de la Iglesia
2005 C conf
Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules.
EMO
Beatriz de la Iglesia, Alan P. Reynolds, Victor J. Rayward-Smith
2004 C conf
The Application of K-Medoids and PAM to the Clustering of Rules.
IDEAL
Alan P. Reynolds, Graeme Richards, Victor J. Rayward-Smith
2003 — conf
Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification.
EvoWorkshops
Alan P. Reynolds, Jo L. Dicks, Ian N. Roberts, Jan-Jaap Wesselink, Beatriz de la Iglesia, Vincent Robert, Teun Boekhout, Victor J. Rayward-Smith