Publications

Gregorio Toscano, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, and Lewis Linker, “Large-scale Multi- objective Optimization for Watershed Planning and Assessment,” IEEE Transactions on Systems, Man, and Cybernetics: Systems 2024, no. 1 (2024): 1–12, issn: 2168-2216, https://doi.org/10.1109/TSMC.2024.3361679
Gregorio Toscano, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, and Lewis Linker, “Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem,” in 2023 IEEE Congress on Evolutionary Computation (CEC) (2023), 1–8, https://doi.org/10.1109/CEC53210.2023.10254161
Gregorio Toscano, Juan Hernández-Suárez, Julian Blank, Pouyan Nejadhashemi, and Kalyanmoy Deb, “Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed,” in 2022 IEEE Congress on Evolutionary Computation (CEC’2022), ed. Alessandro Sperduti and Marco Gori General Co-Chairs of IEEE WCCI 2022, (Best paper award) (Padua, Italy: IEEE Press, July 2022), 1–9, https://doi.org/10.1109/CEC55065.2022.9870286
Samuel Omar Tovias-Alanis, Wilfrido Gómez-Flores, and Gregorio Toscano-Pulido, “Evolutionary Instance Selection Based on Preservation of the Data Probability Density Function,” Computación y Sistemas 26, no. 2 (April 2022): 853– 866, issn: 2007-9737, https://doi.org/10.13053/CyS-26-2-4255
Samuel Omar Tovias-Alanis, Wilfrido Gómez-Flores, Gregorio Toscano-Pulido, and Juan Humberto Sossa-Azuela, “Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification,” in Pattern Recognition. MCPR 2022, ed. Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez, Juan Humberto Sossa-Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, and José Arturo Olvera-López, (Best paper award) (Springer. LNCS Vol. 13264, 2022), 105–1115, isbn: 978-3-031-07750-0, https://doi.org/10.1007/978-3-031-07750-0_10
Juan Hernández-Suárez, Gregorio Toscano, Pouyan Nejadhashemi, and Kalyanmoy Deb, “Development of an Effi- cient Optimization Framework for Improving Water Quality in the Chesapeake Bay Watershed,” in American Geo- physical Union Fall Meeting 2021 (AGU-2021) (New Orleans, Louisiana, December 2021)
Samuel Tovias-Alanis, Wilfrido Gomez-Flores, and Gregorio Toscano-Pulido, “Instance Selection Based on Linkage Trees,” in 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), CCE 2021 (Mexico City, Mexico: IEEE, 2021), 1–6, https://doi.org/10.1109/CCE53527.2021.9633116
Miguel Santiago-Duran, J.L. Gonzalez-Compean, André Brinkmann, Hugo G. Reyes-Anastacio, Jesus Carretero, Raf- faele Montella, and Gregorio Toscano-Pulido, “A gearbox model for processing large volumes of data by using pipeline systems encapsulated into virtual containers,” Future Generation Computer Systems 106 (May 2020): 304– 319, issn: 0167-739X, https://doi.org/10.1016/j.future.2020.01.014
Auraham Camacho, Gregorio Toscano, Ricardo Landa, and Hisao and Ishibuchi, “Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems,” in 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 (East Lansing, U.S.A: Springer-Verlag New York, Inc., 2019), 216–228, https://doi.org/10. 1007/978-3-030-12598-1_18
Ricardo Landa, Giomara Larraga, and Gregorio Toscano, “Use of a Goal-constraint-based Approach for Finding the Region of Interest in Multi-objective Problems,” Journal of Heuristics 25, no. 1 (February 2019): 107–139, issn: 1381- 1231, https://doi.org/10.1007/s10732-018-9387-8
Kalyanmoy Deb, Rayan Hussein, Proteek Roy, and Gregorio Toscano, “A Taxonomy for Metamodeling Methods for Evolutionary Multi-Objective Optimization,” IEEE Transactions on Evolutionary Computation 23, no. 1 (February 2019): 104–116, issn: 1089-778X, https://doi.org/10.1109/TEVC.2018.2828091
Javier Rubio-Loyola, Christian Aguilar-Fuster, Gregorio Toscano-Pulido, Rashid Mijumbi, and Joan Serrat, “Enhancing Metaheuristic-based Online Embedding in Network Virtualization Environments,” IEEE Transactions on Network and Service Management 15, no. 1 (March 2018): 200–2016, issn: 1932-4537, https://doi.org/10.1109/TNSM.2017.2742666
Kalyanmoy Deb, Rayan Hussein, Proteek Roy, and Gregorio Toscano, “Classifying Metamodeling Methods for Evo- lutionary Multi-objective Optimization: First Results,” in 9th International Conference on Evolutionary Multi-Criterion Optimization - Volume 10173, EMO 2017 (Münster, Germany: Springer-Verlag New York, Inc., 2017), 160–175, isbn: 978-3-319-54156-3, https://doi.org/10.1007/978-3-319-54157-0_12
Alan Diaz-Manriquez, Gregorio Toscano, and Carlos A. Coello Coello, “Comparison of Metamodeling Techniques in Evolutionary Algorithms,” Soft Computing 21, no. 19 (October 2017): 5647–5663, issn: 1433-7479, https://doi.org/10. 1007/s00500-016-2140-z
Gregorio Toscano, Ricardo Landa, Giomara Larraga, and Guillermo Leguizamon, “On the use of stochastic ranking for parent selection in differential evolution for constrained optimization,” Soft Computing 21, no. 16 (August 2017): 4617–4633, issn: 1432-7643, https://doi.org/10.1007/s00500-016-2073-6
Gregorio Toscano and Kalyanmoy Deb, “Study of the Approximation of the Fitness Landscape and the Ranking Process of Scalarizing Functions for Many-objective Problems,” in 2016 IEEE Congress on Evolutionary Computation (CEC’2016), ed. Kay Chen Tan and General Co-Chair of IEEE WCCI 2016 (Vancouver, Canada: IEEE Press, July 2016), 4358–4365, https://doi.org/10.1109/CEC.2016.7744344
Alan Diaz-Manriquez, Gregorio Toscano, Jose Hugo Barron-Zambrano, and Edgar Tello-Leal, “R2-Based Multi/Many- Objective Particle Swarm Optimization,” article ID 1898527, Computational Intelligence and Neuroscience 2016 (May 2016), issn: 1687-5265, https://doi.org/10.1155/2016/1898527
Alan Diaz-Manriquez, Gregorio Toscano, Jose Hugo Barron-Zambrano, and Edgar Tello-Leal, “A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms,” article ID 9420460, Computational Intelligence and Neuroscience 2016 (May 2016), issn: 1687-5265, https://doi.org/10.1155/2016/9420460
Oliver Schutze, Christian Dominguez-Medina, Nareli Cruz-Cortes, Luis Gerardo de la Fraga, Jian-Qiao Sun, Gregorio Toscano, and Ricardo Landa, “A Scalar Optimization Approach for Averaged Hausdorff Approximations of the Pareto Front,” Engineering Optimization 48, no. 9 (2016): 1593–1617, issn: 0305-215X, https://doi.org/10.1080/0305215X.
Mario Garza-Fabre, Gregorio Toscano-Pulido, and Eduardo Rodriguez-Tello, “Multi-objectivization, Fitness Land- scape Transformation and Search Performance: A Case of Study on the HP model for Protein Structure Prediction,” European Journal of Operational Research 243, no. 2 ( June 2015): 405–422, issn: 0377-2217, https://doi.org/10.1016/j. Ejor.2014.06.009
Javier Rubio-Loyola, Gregorio Toscano-Pulido, Marinos Charalambides, Marisol Magaña-Aguilar, Joan Serrat-Fernández, George Pavlou, and Hiram Galeana-Zapién, “Business-driven policy optimization for service management,” Interna- tional Journal of Network Management 25, no. 2 (2015): 113–140, issn: 1099-1190, https://doi.org/10.1002/nem.1886
Mario Garza-Fabre, Eduardo Rodriguez-Tello, and Gregorio Toscano-Pulido, “Constraint-handling through multi- objective optimization: The hydrophobic-polar model for protein structure prediction,” Computers & Operations Re- search 53 ( January 2015): 128–153, issn: 0305-0548, https://doi.org/10.1016/j.cor.2014.07.010
Ricardo Landa, Carlos A. Coello Coello, and Gregorio Toscano-Pulido, “Goal-constraint: Incorporating Preferences Through an Evolutionary g-constraint Based Method,” in 2013 IEEE Congress on Evolutionary Computation (CEC’2013) (Cancun, Mexico: IEEE Press, June 2013), 741–747, isbn: 978-1-4799-0454-9, https://doi.org/10.1109/CEC.2013. 6557642
Mario Garza-Fabre, Gregorio Toscano-Pulido, and Eduardo Rodriguez-Tello, “Handling Constraints in the HP Model for Protein Structure Prediction by Multiobjective Optimization,” in 2013 IEEE Congress on Evolutionary Computation (CEC’2013) (Cancun, Mexico: IEEE Press, June 2013), 2728–2735, isbn: 978-1-4799-0454-9, https://doi.org/10.1109/ CEC.2013.6557899
Alan Diaz-Manriquez, Gregorio Toscano-Pulido, and Ricardo Landa-Becerra, “On the use of a BSP Tree to create local surrogate models,” in 2013 IEEE Conference on Evolutionary Computation (CEC’13) (Cancún, México: IEEE Press, June 2013), 2540–2547, isbn: 978-1-4799-0454-9, https://doi.org/10.1109/CEC.2013.6557875
Alan Diaz-Manriquez, Gregorio Toscano-Pulido, Carlos A. Coello Coello, and Ricardo Landa-Becerra, “A Ranking Method Based on the R2 Indicator for Many-Objective Optimization,” in 2013 IEEE Congress on Evolutionary Com- putation (CEC’2013) (Cancún, México: IEEE Press, June 2013), 1523–1530, isbn: 978-1-4799-0454-9, https://doi.org/10. 1109/CEC.2013.6557743
Alan Diaz-Manriquez, Gregorio Toscano-Pulido, and Ricardo Landa-Becerra, “A Hybrid Local Search Operator for Multiobjective Optimization,” in 2013 IEEE Congress on Evolutionary Computation (CEC’2013) (Cancún, México: IEEE Press, June 2013), 173–180, isbn: 978-1-4799-0454-9, https://doi.org/10.1109/CEC.2013.6557568
Mario Garza-Fabre, Eduardo Rodriguez-Tello, and Gregorio Toscano-Pulido, “Comparative Analysis of Different Eval- uation Functions for Protein Structure Prediction Under the HP Model,” Journal of Computer Science and Technology 28, no. 5 (2013): 868–889, issn: 1000-9000, https://doi.org/10.1007/s11390-013-1384-7
Jorge Sebastian Hernandez-Dominguez, Gregorio Toscano-Pulido, and Carlos A. Coello Coello, “A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme,” in Artificial Evolution, 10th International Conference, Evolution Artificielle (EA 2011), ed. Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarche, Eve- lyne Lutton, and Marc Schoenauer (Angers, France: Springer. LNCS Vol. 7401, October 2012), 169–180, isbn: 978-3- 642-35532-5, https://doi.org/10.1007/978-3-642-35533-2_15
Alan Diaz-Manriquez, Gregorio Toscano-Pulido, and Ricardo Landa-Becerra, “A Surrogate-Based Intelligent Varia- tion Operator for Multiobjective Optimization,” in 10th International Conference, Evolution Artificielle (EA 2011), ed. Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarché, Evelyne Lutton, and Marc Schoenauer (Angers, France: Springer. LNCS Vol. 7401, October 2012), 13–24, isbn: 978-3-642-35532-5, https://doi.org/10.1007/978-3-642- 35533-2_2
Mario Garza-Fabre, Eduardo Rodriguez-Tello, and Gregorio Toscano-Pulido, “An Improved Multiobjectivization Strat- egy for HP Model-Based Protein Structure Prediction,” in Parallel Problem Solving from Nature - PPSN XII, 12th Inter- national Conference, ed. Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, and Mario Pavone (Taormina, Italy: Springer. LNCS Vol. 7492, September 2012), 82–92, isbn: 978-3-642- 32963-0, https://doi.org/10.1007/978-3-642-32964-7_9
Ricardo Landa, Yazmin Rojas, and Gregorio Toscano-Pulido, “An Approach for Estimating Separability and Its Appli- cation on High Dimensional Optimization,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation (GECCO ’12) (Philadelphia, USA: ACM, July 2012), 951–958, isbn: 978-1-4503-1177-9, https://doi.org/10. 1145/2330163.2330295
Mario Garza-Fabre, Gregorio Toscano-Pulido, and Eduardo Rodriguez-Tello, “Locality-Based Multiobjectivization for the HP Model of Protein Structure Prediction,” in Proceedings of the 14th Annual Conference on Genetic and Evolution- ary Computation (GECCO ’12) (Philadelphia, USA: ACM Press, July 2012), 473–480, isbn: 978-1-4503-1177-9
Mario Garza-Fabre, Eduardo Rodriguez-Tello, and Gregorio Toscano-Pulido, “Multiobjectivizing the HP Model for Protein Structure Prediction,” in Evolutionary Computation in Combinatorial Optimization, 12th European Conference (EvoCOP 2012), ed. Jin-Kao Hao and Martin Middendorf (Malaga, Spain: Springer. LNCS Vol. 7245, April 2012), 182– 193, isbn: 978-3-642-35532-5, https://doi.org/10.1007/978-3-642-29124-1_16
Mario Alberto Villalobos-Arias, Gregorio Toscano Pulido, and Carlos A. Coello Coello, “A new mechanism to maintain diversity in multiobjective metaheuristics,” Optimization 61, no. 7 (2012): 823–854, issn: 0233-1934, https://doi.org/ 10.1080/02331934.2010.534476
Gerardo Montemayor-Garcia and Gregorio Toscano-Pulido, “A Study of Surrogate Models for their use in Multiob- jective Evolutionary Algorithms,” in 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control (Merida City, Mexico: IEEE, October 2011), 1–6, https://doi.org/10.1109/ICEEE.2011.6106655
Jorge S. Hernandez Dominguez and Gregorio Toscano Pulido, “A Comparison on the Search of Particle Swarm Opti- mization and Differential Evolution on Multi-Objective Optimization,” in 2011 IEEE Congress on Evolutionary Compu- tation (CEC’2011) (New Orleans, Louisiana, USA: IEEE Service Center, June 2011), 1978–1985, isbn: 978-1-4244-7835-4, https://doi.org/10.1109/CEC.2011.5949858
Mario Garza-Fabre, Eduardo Rodriguez-Tello, and Gregorio Toscano-Pulido, “Comparing Alternative Energy Func- tions for the HP Model of Protein Structure Prediction,” in 2011 IEEE Congress on Evolutionary Computation (CEC’2011) (New Orleans, Louisiana, USA: IEEE Service Center, June 2011), 1972–1979, isbn: 978-1-4244-7835-4, https://doi.org/ 10.1109/CEC.2011.5949902
Mario Garza-Fabre, Carlos A. Coello Coello Gregorio Toscano-Pulido, and Eduardo Rodriguez-Tello, “Effective Rank- ing + Speciation = Many-Objective Optimization,” in 2011 IEEE Congress on Evolutionary Computation (CEC’2011) (New Orleans, Louisiana, USA: IEEE Service Center, June 2011), 2115–2122, isbn: 978-1-4244-7835-4, https://doi.org/10. 1109/CEC.2011.5949876
Alan Diaz-Manriquez, Gregorio Toscano-Pulido, and Wilfrido Gomez-Flores, “On the Selection of Surrogate Models in Evolutionary Optimization Algorithms,” in 2011 IEEE Congress on Evolutionary Computation (CEC’2011) (New Or- leans, Louisiana, USA: IEEE Service Center, June 2011), 2143–2150, isbn: 978-1-4244-7835-4, https://doi.org/10.1109/ CEC.2011.5949881
Gregorio Toscano-Pulido, Angelina Reyes-Medina, and Jose Ramirez-Torres, “A Statistical Study of the Effects of Neighborhood Topologies in Particle Swarm Optimization,” in Studies in Computational Intelligence, ed. Kurosh Madani, António Correia, Agostinho Rosa, and Joaquim Filipe, vol. 343, Studies in Computational Intelligence (Springer Berlin
Martin Nava-Ortiz, Wilfrido Gómez-Flores, Arturo Diaz-Perez, and Gregorio Toscano-Pulido, “Evaluation of Bina- rization Algorithms for Camera-Based Devices,” in Pattern Recognition. MCPR 2011, ed. J.F. Martinez-Trinidad, J.A. Carrasco-Ochoa, C. Ben-Youssef Brants, and Hancock E.R. (Springer. LNCS Vol. 6718, 2011), 164–173, isbn: 978-3- 642-21586-5, https://doi.org/10.1007/978-3-642-21587-2_1
Alan Diaz-Manriquez, Gregorio Toscano Pulido, and Ricardo Landa Becerra, “A Long-term Memory Approach for Dy- namic Multiobjective Evolutionary Algorithms,” in International Joint Conference on Computational Intelligence 2011 (ECTA-FCTA), ed. Agostinho C. Rosa, Janusz Kacprzyk, Joaquim Filipe, and António Dourado Correia (SciTePress, Oc- tober 2011), 333–337, isbn: 978-989-8425-83-6, http://dblp.uni-trier.de/db/conf/ijcci/ijcci2011-2.html
Jose Gabriel Ramirez-Torres, Gregorio Toscano-Pulido, Apolinar Ramirez-Saldivar, and Arturo Hernandez-Ramirez, “A Complete Closed-Form Solution to the Inverse Kinematics Problem for the P2Arm Manipulator Robot,” in 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference (September 2010), 372–377, https://doi.org/10.1109/ CERMA.2010.5
Mario Garza Fabre, Gregorio Toscano Pulido, and Carlos A. Coello Coello, “Two Novel Approaches for Many-Objective Optimization,” in 2010 IEEE Congress on Evolutionary Computation (CEC’2010), ed. Hisao Ishibuchi et al. (Barcelona, Spain: IEEE Press, July 2010), 4480–4487, https://doi.org/10.1109/CEC.2010.5585930
Mario Garza-Fabre, Gregorio Toscano Pulido, and Carlos A. Coello Coello, “Alternative Fitness Assignment Methods for Many-Objective Optimization Problems,” in Artificial Evolution, 9th International Conference, Evolution Artificielle, EA 2009, ed. P. Collet, N. Monmarché, P. Legrand, M. Schoenauer, and E. Lutton, (Best paper award) (Strasbourg, France: Springer. LNCS, Vol. 5975, 2010), 146–157, isbn: 978-3-642-14155-3, https://doi.org/10.1007/978-3-642- 14156-0_13
Alan Diaz-Manriquez, Gregorio Toscano Pulido, and Jose Gabriel Ramirez-Torres, “Handling Dynamic Multiobjective Problems with Particle Swarm Optimization,” in Second International Conference on Agents and Artificial Intelligence, ICAART, ed. Joaquim Filipe, Ana Fred, and Bernadette Sharp (Valencia, Spain, January 2010), 337–342
Mario Garza Fabre, Gregorio Toscano Pulido, and Carlos A. Coello Coello, “Ranking Methods for Many-Objective Problems,” in MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelli- gence, ed. Arturo Hernández Aguirre, Raúl Monroy Borja, and Carlos Alberto Reyes Garcia (Guanajuato, México: Springer. LNAI Vol. 5845, November 2009), 633–645, isbn: 978-3-642-05257-6, https://doi.org/10.1007/978-3-642- 05258-3_56
Angelina Jane Reyes Medina, Gregorio Toscano-Pulido, and Jose Gabriel Ramirez Torres, “A Comparative Study of Neighborhood Topologies for Particle Swarm Optimizers,” in IJCCI 2009: Proceedings of the International Joint Confer- ence on Computational Intelligence, ed. Dourado, A and Rosa, A and Madani, K (Av. D Manuel L, 27A 2 Esquerdo, Se- tubal, 2910-595, PORTUGAL: Inst Syst & Technol Informat, Control & Communication; Int Fuzzy Syst Assoc, INSTICC- INST, 2009), 152–159, isbn: 978-989-674-014-6
Ezra Federico Parra-Gonzalez, Gabriel Ramirez-Torres, and Gregorio Toscano-Pulido, “A New Object Path Planner for the Box Pushing Problem,” in 2009 Electronics, Robotics and Automotive Mechanics Conference (CERMA) (IEEE, Septem- ber 2009), 119–124, isbn: 978-0-7695-3799-3, https://doi.org/10.1109/CERMA.2009.
Ezra Federico Parra-Gonzalez, Gabriel Ramirez-Torres, and Gregorio Toscano-Pulido, “Motion Planning for Coopera- tive Multi-robot Box-Pushing Problem,” in Advances in Artificial Intelligence (IBERAMIA 2008), ed. H. Geffner, R. Prada, I. Machado Alexandre, and N. David (Lisbon, Portugal: Springer, LNCS vol 5290, 2008), 382–391, isbn: 978-3-540- 88309-8, https://doi.org/10.1007/978-3-540-88309-8_39
Juan C. Elizondo-Leal, Gabriel Ramirez-Torres, and Gregorio Toscano Pulido, “Multi-robot Exploration and Mapping Using Self Biddings and Stop Signals,” in Mexican International Conference in Artificial Intelligence (MICAI 2008), ed. E.F. Morales A. Gelbukh (Springer. LNCS vol 5317, 2008), 615–625, isbn: 978-3-540-88636-5, https://doi.org/10.1007/ 978-3-540-88636-5_59
Juan C. Elizondo-Leal, Gabriel Ramirez-Torres, and Gregorio Toscano Pulido, “Multi-robot Exploration and Mapping Using Self Biddings,” in Advances in Artificial Intelligence (IBERAMIA 2008), ed. H. Geffner, R. Prada, I. Machado Alexan- dre, and N. David (Lisbon, Portugal: Springer. LNCS vol 5290, 2008), 392–401, https://doi.org/10.1007/978-3-540- 88309-8_40
Israel Vite-Silva, Nareli Cruz-Cortes, Gregorio Toscano-Pulido, and Luis G. de la Fraga, “Optimal Triangulation in 3D Computer Vision Using a Multi-objective Evolutionary Algorithm,” in Applications of Evolutionary Computing. EvoWork- shops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, ed. Mario Gia- cobini et al. (Valencia, Spain: Springer. LNCS vol. 4448, April 2007), 330–339, isbn: 978-3-540-71804-8, https://doi. org/10.1007/978-3-540-71805-5_36
Oliver Schutze, El Ghazali Talbi, Gregorio Toscano Pulido, Carlos Coello Coello, and L. V. Santana-Quintero, “A Memetic PSO Algorithm for Scalar Optimization Problems,” in 2007 IEEE Swarm Intelligence Symposium, ed. Yuhui Shi and Marco Dorigo (Honolulu, Hawaii, USA, April 2007), 128–134, isbn: 1-4244-0708-7, https://doi.org/10.1109/SIS.2007. 368036
Gregorio Toscano-Pulido, Carlos A. Coello Coello, and Luis Vicente Santana-Quintero, “EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency,” in Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, ed. Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, and Tadahiko Mu- rata (Matshushima, Japan: Springer. LNCS Vol. 4403, March 2007), 272–285, isbn: 978-3-540-70927-5, https://doi. org/10.1007/978-3-540-70928-2_23