Publications

International Journals


  1. Víctor Adrián Sosa Hernández, Oliver Schütze, Hao Wang, André Deutz, and Michael Emmerich. 2018. 'The Set-Based Hypervolume Newton Method for Bi-Objective Optimization', IEEE Transactions on Cybernetics, 1-11.
  2. Adriana Lara, Lourdes Uribe, Sergio Alvarado, Víctor Adrián Sosa, Honggang Wang, and Oliver Schütze. 2018. 'On the choice of neighborhood sampling to build effective search operators for constrained MOPs', Memetic Computing.
  3. Oliver Schütze, Víctor Adrián Sosa Hernández, Heike Trautmann, and Günter Rudolph. 2016. 'The hypervolume based directed search method for multi-objective optimization problems', Journal of Heuristics, 22: 273-300.

Book Chapters


  1. Víctor Adrián Sosa Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, and Oliver Schütze. 2017. 'The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.' in NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico, Springer, 281-330.

International Conferences


  1. Víctor Adrián Sosa Hernández, Oliver Schütze, Günter Rudolph, and Heike Trautmann. 'Directed Search Method for Indicator-Based Multi-Objective Evolutionary Algorithms'. Proceedings of the 15th annual conference companion on genetic and evolutionary computation (GECCO) 2013, ACM, Amsterdam, The Netherlands, 1699-1702.
  2. Víctor Adrián Sosa Hernández, Oliver Schütze, Günter Rudolph, and Heike Trautmann. 'The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume'. EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV Advances in Intelligent Systems and Computing Volume 227, Springer, 2013, Leiden, The Netherlands, 189-205.
  3. Victor Adrian Sosa Hernandez, Oliver Schuetze, Michael Emmerich. 'Hypervolume Maximization via Set Based Newton´s Method'. EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V Advances in Intelligent Systems and Computing Volume 288, Springer, 2014, Beijing, China, 15-28.
  4. Victor Adrian Sosa Hernandez, Oliver Schuetze, Heike Trautmann, Guenter Rudolph. 'On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs'. Evolutionary Multi-Criterion Optimization (EMO), Lecture Notes in Computer Science Volume 9019, Springer, 2015, Guimares, Portugal, 126-140.
  5. Saúl Zapotecas Martínez, Víctor Adrián Sosa Hernández, Hernán E. Aquirre, Kiyoshi Tanaka, Carlos A. Coello Coello. 'Using a Family of Curves to Approximate the pareto Front of a Multi-Objective Optimization Problem'. Parallel Problem Solving from Nature (PPSN), Lecture Notes in Computer Science Volume 8672, Springer, 2014, Ljubljana, Slovenia, 682-691.
  6. Sergio Alvarado, Adriana Lara, Víctor Sosa, Oliver Schütze. 'An effective mutation operator to deal with multi-objective constrained problems: SPM'. Electrical Engineering, Computing Science and Automatic Control (CCE), IEEE, 2016, Ciudad de México, México, 1-6.