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Carlos A. Coello Coello

Active 1994–2026

605
Papers
48,366
Citations
92
h-index
389
i10-index

Citations

Citations per year for Carlos A. Coello Coello1975: 1 citations1979: 2 citations1990: 5 citations1994: 1 citations1995: 1 citations1996: 2 citations1997: 4 citations1998: 5 citations1999: 28 citations2000: 68 citations2001: 70 citations2002: 112 citations2003: 215 citations2004: 228 citations2005: 468 citations2006: 543 citations2007: 686 citations2008: 863 citations2009: 1,037 citations2010: 1,079 citations2011: 1,138 citations2012: 1,204 citations2013: 1,321 citations2014: 1,415 citations2015: 1,546 citations2016: 1,536 citations2017: 1,542 citations2018: 1,786 citations2019: 1,925 citations2020: 2,218 citations2021: 2,404 citations2022: 2,097 citations2023: 1,946 citations2024: 1,733 citations2025: 1,433 citations2026: 417 citations2027: 2 citations1976–1978: no citations, so these years are not shown1980–1989: no citations, so these years are not shown1991–1993: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,595 citing papers, 25.2% of this breakdownUnited States: 1,828 citing papers, 7% of this breakdownUnited Kingdom: 1,532 citing papers, 5.9% of this breakdownIndia: 1,433 citing papers, 5.5% of this breakdownSpain: 1,086 citing papers, 4.2% of this breakdownMexico: 1,018 citing papers, 3.9% of this breakdownAustralia: 949 citing papers, 3.6% of this breakdownIran: 880 citing papers, 3.4% of this breakdownGermany: 664 citing papers, 2.5% of this breakdownBrazil: 652 citing papers, 2.5% of this breakdownJapan: 636 citing papers, 2.4% of this breakdownFrance: 568 citing papers, 2.2% of this breakdown
0%25.2%Other 31.7%

Institutions

Fields

  • Computer Science68.8%
  • Engineering20.7%
  • Decision Sciences3.2%
  • Biochemistry, Genetics and Molecular Biology1.4%
  • Business, Management and Accounting1.1%
  • Physics and Astronomy0.8%
  • Other4%

Topics

  • Advanced Multi-Objective Optimization Algorithms18.2%
  • Metaheuristic Optimization Algorithms Research18%
  • Evolutionary Algorithms and Applications9.9%
  • Scheduling and Optimization Algorithms1.5%
  • Optimal Experimental Design Methods1.3%
  • Topology Optimization in Engineering1.3%
  • Other49.8%

Coauthors

All papers

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  1. Handling Multiple Objectives With Particle Swarm Optimization

    Authors: Carlos A. Coello Coello, Gregorio Toscano Pulido, Maximino Salazar Lechuga - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2004 cited by 4,346

  2. Solving Multiobjective Optimization Problems Using an Artificial Immune System

    Authors: Carlos A. Coello Coello, Nareli Cruz Cort�s - Genetic Programming and Evolvable Machines, Genet. Program. Evolvable Mach. 2005 cited by 1,029

  3. MOPSO: a proposal for multiple objective particle swarm optimization

    Authors: Carlos A. Coello Coello, Maximino Salazar Lechuga - Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), IEEE Congress on Evolutionary Computation 2002 cited by 2,389

  4. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art

    Authors: Carlos A. Coello Coello - Computer Methods in Applied Mechanics and Engineering 2002 cited by 2,299

  5. A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

    Authors: Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2021 cited by 392

  6. Use of a self-adaptive penalty approach for engineering optimization problems

    Authors: Carlos A. Coello Coello - Computers in Industry 2000 cited by 1,313

  7. Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces

    Authors: Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2020 cited by 200

  8. A Study of the Parallelization of a Coevolutionary Multi-objective Evolutionary Algorithm

    Authors: Carlos A. Coello Coello, Margarita Reyes Sierra - Lecture notes in computer science, MICAI 2004 cited by 412

  9. Bio-inspired computation: Where we stand and what's next

    Authors: Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2019 cited by 578

  10. Evolutionary multi-objective optimization: a historical view of the field

    Authors: Carlos A. Coello Coello - IEEE Computational Intelligence Magazine, IEEE Comput. Intell. Mag. 2006 cited by 1,417

  11. Constraint-handling in nature-inspired numerical optimization: Past, present and future

    Authors: Efrén Mezura-Montes, Carlos A. Coello Coello - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2011 cited by 1,089

  12. Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization

    Authors: Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2012 cited by 509

  13. Use of cooperative coevolution for solving large scale multiobjective optimization problems

    Authors: Luis Miguel Antonio, Carlos A. Coello Coello - IEEE Congress on Evolutionary Computation 2013 cited by 276

  14. Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems

    Authors: Qiuzhen Lin, Songbai Liu, Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2016 cited by 309

  15. Indicator-based Multi-objective Evolutionary Algorithms: A Comprehensive Survey

    Authors: Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello - ACM Computing Surveys, ACM Comput. Surv. 2020 cited by 174

  16. A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications

    Authors: Antonin Ponsich, Antonio López Jaimes, Carlos A. Coello Coello - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2012 cited by 362

  17. Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

    Authors: Carlos A. Coello Coello, Efrén Mezura-Montes - Advanced Engineering Informatics, Adv. Eng. Informatics 2002 cited by 870

  18. Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization

    Authors: Lingjie Li, Yongfeng Li, Qiuzhen Lin, Songbai Liu, Junwei Zhou, Zhong Ming, Carlos A. Coello Coello - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2023 cited by 51

  19. Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing

    Authors: Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Ji, Ka-Chun Wong, Carlos A. Coello Coello - Knowledge-Based Systems, Knowl. Based Syst. 2022 cited by 107

  20. SMPSO: A new PSO-based metaheuristic for multi-objective optimization

    Authors: Antonio J. Nebro, Juan José Durillo, José García-Nieto, Carlos A. Coello Coello, Francisco Luna, Enrique Alba - IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making(MCDM) 2009 cited by 645

  21. Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art

    Authors: Luis Miguel Antonio, Carlos A. Coello Coello - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2017 cited by 215

  22. An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization

    Authors: Qiuzhen Lin, Xunfeng Wu, Lijia Ma, Jianqiang Li, Maoguo Gong, Carlos A. Coello Coello - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2021 cited by 77

  23. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance

    Authors: Margarita Reyes Sierra, Carlos A. Coello Coello - Lecture notes in computer science, EMO 2005 cited by 773

  24. An empirical study about the usefulness of evolution strategies to solve constrained optimization problems

    Authors: Efrén Mezura-Montes, Carlos A. Coello Coello - International Journal of General Systems, Int. J. Gen. Syst. 2008 cited by 475