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Alan P. Reynolds
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2010 – 2019
- 2018
- [i1]Václav Potocek, Alan P. Reynolds, Alessandro Fedrizzi, David W. Corne:
Multi-objective evolutionary algorithms for quantum circuit discovery. CoRR abs/1812.04458 (2018) - 2013
- [c15]David Corne, Alan P. Reynolds
, Stuart J. Galloway, Edward Owens
Short term wind speed forecasting with evolved neural networks. GECCO (Companion) 2013: 1521-1528 - 2012
- [c14]Alan P. Reynolds
Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching. PPSN (2) 2012: 195-204 - [p1]David W. Corne, Alan P. Reynolds
Swarm Intelligence. Handbook of Natural Computing 2012: 1599-1622 - 2011
- [c13]Alan P. Reynolds
A parallel BOA-PSO hybrid algorithm for history matching. IEEE Congress on Evolutionary Computation 2011: 894-901 - [c12]David Corne, Alan P. Reynolds
Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems. GECCO (Companion) 2011: 707-710 - [c11]David Corne, Alan P. Reynolds
Optimization by precomputation. NaBIC 2011: 552-557 - 2010
- [c10]David W. Corne, Alan P. Reynolds
Optimisation and Generalisation: Footprints in Instance Space. PPSN (1) 2010: 22-31 - [c9]Alan P. Reynolds
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task. PPSN (1) 2010: 384-393
2000 – 2009
- 2009
- [j4]Alan P. Reynolds
A multi-objective GRASP for partial classification. Soft Comput. 13(3): 227-243 (2009) - [c8]Joshua D. Knowles
Noisy Multiobjective Optimization on a Budget of 250 Evaluations. EMO 2009: 36-50 - [c7]Alan P. Reynolds
A multiobjective GRASP for rule selection. GECCO 2009: 643-650 - 2008
- [j3]David W. Corne, Alan P. Reynolds:
Swarm Intelligence: A Tutorial Account. Bull. EATCS 96: 104-127 (2008) - 2007
- [j2]Alan P. Reynolds
Construction of factory schedules using reverse simulation. Eur. J. Oper. Res. 179(3): 656-676 (2007) - [c6]Alan P. Reynolds
Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining. MCDM 2007: 99-106 - [c5]Alan P. Reynolds, Beatriz de la Iglesia
Rule Induction for Classification Using Multi-objective Genetic Programming. EMO 2007: 516-530 - 2006
- [j1]Alan P. Reynolds
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms. J. Math. Model. Algorithms 5(4): 475-504 (2006) - [c4]Alan P. Reynolds, Beatriz de la Iglesia
Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. IJCNN 2006: 3343-3350 - 2005
- [c3]Beatriz de la Iglesia
Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. EMO 2005: 826-840 - 2004
- [c2]Alan P. Reynolds, Graeme Richards, Victor J. Rayward-Smith:
The Application of K-Medoids and PAM to the Clustering of Rules. IDEAL 2004: 173-178 - 2003
- [c1]Alan P. Reynolds, Jo L. Dicks, Ian N. Roberts, Jan-Jaap Wesselink, Beatriz de la Iglesia
Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification. EvoWorkshops 2003: 107-118
Coauthor Index
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