Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20092023

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  • 2022

    Studying Special Operators for the Application of Evolutionary Algorithms in the Seek of Optimal Boolean Functions for Cryptography

    Mandujano, S., Ku Cauich, J. C. & Lara, A., 2022, Advances in Computational Intelligence - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Proceedings. Pichardo Lagunas, O., Martínez Seis, B. & Martínez-Miranda, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 383-396 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13612 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2020

    Using gradient-free local search within MOEAs for the treatment of constrained MOPs

    Uribe, L., Lara, A., Deb, K. & Schütze, O., 8 Jul 2020, GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 177-178 2 p. (GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2019

    A new hybrid metaheuristic for equality constrained bi-objective optimization problems

    Cuate, O., Uribe, L., Ponsich, A., Lara, A., Beltran, F., Sánchez, A. R. & Schütze, O., 2019, Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, Proceedings. Coello Coello, C. A., Deb, K., Goodman, E., Klamroth, K., Reed, P., Miettinen, K. & Mostaghim, S. (eds.). Springer Verlag, p. 53-65 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11411 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Toward a new family of hybrid evolutionary algorithms

    Uribe, L., Schütze, O. & Lara, A., 2019, Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, Proceedings. Deb, K., Goodman, E., Miettinen, K., Coello Coello, C. A., Klamroth, K., Mostaghim, S. & Reed, P. (eds.). Springer Verlag, p. 78-90 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11411 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2016

    A local exploration tool for linear many objective optimization problems

    Cuate, O., Lara, A. & Schutze, O., 21 Nov 2016, 2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2016. Institute of Electrical and Electronics Engineers Inc., 7751261. (2016 13th International Conference on Electrical Engineering,Computing Science and Automatic Control, CCE 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • An effective mutation operator to deal with multi-objective constrained problems: SPM

    Alvarado, S., Lara, A., Sosa, V. & Schutze, O., 21 Nov 2016, 2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2016. Institute of Electrical and Electronics Engineers Inc., 7751258. (2016 13th International Conference on Electrical Engineering,Computing Science and Automatic Control, CCE 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2010

    A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems

    López, A. L., Coello, C. A. C. & Schütze, O., 2010, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 5586113. (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Scopus citations
  • Computing approximate solutions of scalar optimization problems and applications in space mission design

    Schütze, O., Lara, A., Coello, C. A. C. & Vasile, M., 2010, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 5586267. (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • New challenges for memetic algorithms on continuous multi-objective problems

    Lara, A., Coello, C. A. C. & Schuetze, O., 2010, Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. p. 1967-1970 4 p. (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Some comments on GD and IGD and relations to the Hausdorff distance

    Schuetze, O., Esquivel, X., Lara, A. & Coello, C. A. C., 2010, Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. p. 1971-1974 4 p. (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • Using gradient information for multi-objective problems in the evolutionary context

    Lara, A., Coello, C. A. C. & Schuetze, O., 2010, Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. p. 2011-2014 4 p. (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • 2009

    Evolutionary continuation methods for optimization problems

    Schuetze, O., Lara, A. & Coello Coello, C. A., 2009, Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009. p. 651-658 8 p. (Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations
  • Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms

    Lara, A., Coello Coello, C. A. & Schütze, O., 2009, 2009 IEEE Congress on Evolutionary Computation, CEC 2009. p. 16-23 8 p. 4982925. (2009 IEEE Congress on Evolutionary Computation, CEC 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations