Professor Carlos Coello Coello

School of Engineering and Information Technology
  • PUBLICATIONS

Books

Bhateja V; Coello CAC; Satapathy SC; Pattnaik PK, 2018, Preface, http://dx.doi.org/10.1017/CBO9780511816710.001

Gaspar-Cunha A; Antunes CH; Coello CC, 2015, Preface

Gaspar-Cunha A; Antunes CH; Coello CC, 2015, Preface

Schütze O; Coello CAC; Tantar AA; Tantar E; Bouvry P; Moral PD; Legrand P, 2014, Preface

Tantar AA; Tantar E; Sun JQ; Zhang W; Ding Q; Schütze O; Emmerich M; Legrand P; Del Moral P; Coello CAC, 2014, Preface, http://dx.doi.org/10.1007/978-3-319-07494-8

Emmerich M; Deutz A; Schütze O; Bäck T; Tantar E; Tantar AA; Moral PD; Legrand P; Bouvry P; Coello CA, 2013, Preface

Emmerich M; Deutz A; Schütze O; Bäck T; Tantar E; Tantar AA; Moral PD; Legrand P; Bouvry P; Coello CA, 2013, EVOLVE - a bridge between probability, set oriented numerics, and evolutionary computation IV: International conference held at leiden university, July 10-13, 2013, http://dx.doi.org/10.1007/978-3-319-01128-8

Coello CAC, 2011, Preface

Coello Coello CA; Dhaenens C; Jourdan L, 2010, Studies in Computational Intelligence: Preface

Barrera J; Coello CAC, 2009, A review of particle swarm optimization methods used for multimodal optimization, http://dx.doi.org/10.1007/978-3-642-04225-6_2

Dehuri S; Ghosh S; Coello Coello CA, 2009, An introduction to swarm intelligence for multi-objective problems in data mining, http://dx.doi.org/10.1007/978-3-642-03625-5_1

Aguirre AH; Rionda SB; Lizárraga Lizárraga G; Coello Coello CA, 2003, IS-PAES: A constraint-handling technique based on multiobjective optimization concepts

Coello Coello CA; de Albornoz A; Succar LES; Cairo O, 2002, Preface

Zitzler E; Deb K; Thiele L; Coello Coello CA; Corne D, 2001, Preface

Book Chapters

Hernández Gómez R; Coello Coello CA; Alba E, 2020, 'A parallel island model for hypervolume-based many-objective optimization', in Studies in Computational Intelligence, pp. 247 - 273, http://dx.doi.org/10.1007/978-3-030-18764-4_11

Coello Coello CA, 2018, 'Multi-objective optimization', in Handbook of Heuristics, pp. 177 - 204, http://dx.doi.org/10.1007/978-3-319-07124-4_17

Ramirez JM; Medina MA; Coello CAC, 2018, 'A multiobjective teaching-learning algorithm for power losses reduction in power systems', in Classical and Recent Aspects of Power System Optimization, pp. 505 - 542, http://dx.doi.org/10.1016/B978-0-12-812441-3.00018-5

Jaimes AL; Coello CAC, 2016, 'Multi-objective evolutionary algorithms: A review of the state-of-the-art and some of their applications in chemical engineering', in Multi-Objective Optimization: Techniques and Applications in Chemical Engineering (Second Edition), pp. 63 - 92, http://dx.doi.org/10.1142/9789812836526_0003

Zapotecas-Martínez S; Lara A; Coello Coello CA, 2016, 'Hybridizing MOEAs with mathematical-programming techniques', in Decision Sciences: Theory and Practice, pp. 185 - 231, http://dx.doi.org/10.1201/9781315183176

Coello Coello CA, 2016, 'Fundamentals of evolutionary multiobjective optimization', in Intelligent Systems

Jaimes AL; Coello CAC, 2015, 'Many-objective problems: Challenges and methods', in Springer Handbook of Computational Intelligence, pp. 1033 - 1046, http://dx.doi.org/10.1007/978-3-662-43505-2_51

Neumann F; Witt C; Merz P; Coello Coello CA; Bartz-Beielstein T; Schütze O; Mehnen J; Raidl G, 2015, 'Part e evolutionary computation', in Springer Handbook of Computational Intelligence, pp. 823 - 824, http://dx.doi.org/10.1007/978-3-662-43505-2

Leguizamón G; Coello CA, 2014, 'An introduction to the use of evolutionary computation techniques for dealing with ECG signals', in ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence, pp. 135 - 153, http://dx.doi.org/10.1007/978-0-85729-868-3_6

Davarynejad M; Vrancken J; Van Den Berg J; Coello Coello CA, 2013, 'A fitness granulation approach for large-scale structural design optimization', in Variants of Evolutionary Algorithms for Real-World Applications, pp. 245 - 280, http://dx.doi.org/10.1007/978-3-642-23424-8_8

Tantar E; Tantar AA; Bouvry P; Del Moral P; Legrand P; Coello Coello CA; Schütze O, 2013, 'Preface', in Studies in Computational Intelligence, http://dx.doi.org/10.1007/978-3-642-32726-1

Scḧutze O; Coello CAC; Tantar AA; Tantar E; Bouvry P; Del Moral P; Legrand P, 2013, 'Preface', in Advances in Intelligent Systems and Computing, http://dx.doi.org/10.1007/978-3-642-31519-0

Jaimes AL; Coello Coello CA, 2013, 'Interactive Approaches Applied to Multiobjective Evolutionary Algorithms', in Multicriteria Decision Aid and Artificial Intelligence, pp. 189 - 207, http://dx.doi.org/10.1002/9781118522516.ch8

Freschi F; Coello Coello CA; Repetto M, 2009, 'Multiobjective optimization and artificial immune systems: A review', in Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies, pp. 1 - 21, http://dx.doi.org/10.4018/978-1-60566-310-4.ch001

Santana-Quintero LV; Ramírez-Santiago N; Coello Coello CA, 2008, 'Towards a more efficient multi-objective particle swarm optimizer', in Multi-Objective Optimization in Computational Intelligence: Theory and Practice, pp. 76 - 105, http://dx.doi.org/10.4018/978-1-59904-498-9.ch004

Coello Coello CA; Toscano Pulido G; Hernández Aguirre A, 2003, 'Multi-objective evolutionary algorithms for structural optimization', in Computational Fluid and Solid Mechanics 2003, pp. 2244 - 2248, http://dx.doi.org/10.1016/B978-008044046-0.50551-0

Journal articles

Masoumi Z; Coello Coello CA; Mansourian A, 2020, 'Dynamic urban land-use change management using multi-objective evolutionary algorithms', Soft Computing, vol. 24, pp. 4165 - 4190, http://dx.doi.org/10.1007/s00500-019-04182-1

Ma L; Li J; Lin Q; Gong M; Coello Coello CA; Ming Z, 2019, 'Reliable Link Inference for Network Data with Community Structures', IEEE Transactions on Cybernetics, vol. 49, pp. 3347 - 3361, http://dx.doi.org/10.1109/TCYB.2018.2860284

Liu S; Lin Q; Wong KC; Ma L; Coello Coello CA; Gong D, 2019, 'A novel multi-objective evolutionary algorithm with dynamic decomposition strategy', Swarm and Evolutionary Computation, vol. 48, pp. 182 - 200, http://dx.doi.org/10.1016/j.swevo.2019.02.010

Del Ser J; Osaba E; Molina D; Yang XS; Salcedo-Sanz S; Camacho D; Das S; Suganthan PN; Coello Coello CA; Herrera F, 2019, 'Bio-inspired computation: Where we stand and what's next', Swarm and Evolutionary Computation, vol. 48, pp. 220 - 250, http://dx.doi.org/10.1016/j.swevo.2019.04.008

Li L; Lin Q; Liu S; Gong D; Coello Coello CA; Ming Z, 2019, 'A novel multi-objective immune algorithm with a decomposition-based clonal selection', Applied Soft Computing Journal, vol. 81, http://dx.doi.org/10.1016/j.asoc.2019.105490

Lin Q; Liu S; Wong KC; Gong M; Coello Coello CA; Chen J; Zhang J, 2019, 'A clustering-based evolutionary algorithm for many-objective optimization problems', IEEE Transactions on Evolutionary Computation, vol. 23, pp. 391 - 405, http://dx.doi.org/10.1109/TEVC.2018.2866927

Mishra S; Coello Coello CA, 2019, 'Parallelism in divide-and-conquer non-dominated sorting: a theoretical study considering the PRAM-CREW model', Journal of Heuristics, vol. 25, pp. 455 - 483, http://dx.doi.org/10.1007/s10732-019-09407-y

Fernandez E; Navarro J; Solares E; Coello CC, 2019, 'A novel approach to select the best portfolio considering the preferences of the decision maker', Swarm and Evolutionary Computation, vol. 46, pp. 140 - 153, http://dx.doi.org/10.1016/j.swevo.2019.02.002

Su Y; Wang J; Ma L; Wang X; Lin Q; Coello CAC; Chen J, 2019, 'A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems', Applied Soft Computing Journal, vol. 78, pp. 355 - 372, http://dx.doi.org/10.1016/j.asoc.2019.02.026

Zaman F; Elsayed S; Sarker R; Essam D; Coello CAC, 2019, 'Multi-Method based algorithm for multi-objective problems under uncertainty', Information Sciences, vol. 481, pp. 81 - 109, http://dx.doi.org/10.1016/j.ins.2018.12.072

Zapotecas-Martínez S; Coello Coello CA; Aguirre HE; Tanaka K, 2019, 'A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites', IEEE Transactions on Evolutionary Computation, vol. 23, pp. 130 - 142, http://dx.doi.org/10.1109/TEVC.2018.2836912

Mishra S; Saha S; Mondal S; Coello Coello CA, 2019, 'A divide-and-conquer based efficient non-dominated sorting approach', Swarm and Evolutionary Computation, vol. 44, pp. 748 - 773, http://dx.doi.org/10.1016/j.swevo.2018.08.011

Solares E; Coello Coello CA; Fernandez E; Navarro J, 2019, 'Handling uncertainty through confidence intervals in portfolio optimization', Swarm and Evolutionary Computation, vol. 44, pp. 774 - 787, http://dx.doi.org/10.1016/j.swevo.2018.08.010

Wang W; Yang S; Lin Q; Zhang Q; Wong KC; Coello CAC; Chen J, 2019, 'An Effective Ensemble Framework for Multiobjective Optimization', IEEE Transactions on Evolutionary Computation, vol. 23, pp. 645 - 659, http://dx.doi.org/10.1109/TEVC.2018.2879078

Menchaca-Mendez A; Montero E; Antonio LM; Zapotecas-Martinez S; Coello Coello CAC; Riff MC, 2019, 'A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on ϵ-Dominance', IEEE Access, vol. 7, pp. 18267 - 18283, http://dx.doi.org/10.1109/ACCESS.2019.2896962

Plata-González LF; Amaya I; Ortiz-Bayliss JC; Conant-Pablos SE; Terashima-Marín H; Coello Coello CA, 2019, 'Evolutionary-based tailoring of synthetic instances for the Knapsack problem', Soft Computing, vol. 23, pp. 12711 - 12728, http://dx.doi.org/10.1007/s00500-019-03822-w

Miguel Antonio L; Coello Coello CA, 2018, 'Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art', IEEE Transactions on Evolutionary Computation, vol. 22, pp. 851 - 865, http://dx.doi.org/10.1109/TEVC.2017.2767023

Mishra S; Mondal S; Saha S; Coello Coello CA, 2018, 'GBOS: Generalized Best Order Sort algorithm for non-dominated sorting', Swarm and Evolutionary Computation, vol. 43, pp. 244 - 264, http://dx.doi.org/10.1016/j.swevo.2018.06.003

Elsayed S; Sarker R; Coello CC; Ray T, 2018, 'Adaptation of operators and continuous control parameters in differential evolution for constrained optimization', Soft Computing, vol. 22, pp. 6595 - 6616, http://dx.doi.org/10.1007/s00500-017-2712-6

Lin Q; Jin G; Ma Y; Wong KC; Coello CAC; Li J; Chen J; Zhang J, 2018, 'A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm', IEEE Transactions on Cybernetics, vol. 48, pp. 2388 - 2501, http://dx.doi.org/10.1109/TCYB.2017.2739185

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