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Carlos A. Coello Coello: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Guillermo Leguizamón, Carlos A. Coello Coello
    Boundary Search for Constrained Numerical Optimization Problems in ACO Algorithms. [Citation Graph (0, 0)][DBLP]
    ANTS Workshop, 2006, pp:108-119 [Conf]
  2. Nareli Cruz Cortés, Francisco Rodríguez-Henríquez, Raúl Juárez-Morales, Carlos A. Coello Coello
    Finding Optimal Addition Chains Using a Genetic Algorithm Approach. [Citation Graph (0, 0)][DBLP]
    CIS (1), 2005, pp:208-215 [Conf]
  3. Carlos A. Coello Coello
    Current Status of the EMOO Repository, Including Current and Future Research Trends. [Citation Graph (0, 0)][DBLP]
    Practical Approaches to Multi-Objective Optimization, 2005, pp:- [Conf]
  4. Erika Hernández Luna, Carlos A. Coello Coello, Arturo Hernández Aguirre
    On the Use of a Population-Based Particle Swarm Optimizer to Design Combinational Logic Circuits. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2004, pp:183-190 [Conf]
  5. Arturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello
    A Genetic Programming Approach to Logic Function Synthesis by Means of Multiplexers. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 1999, pp:46-53 [Conf]
  6. Arturo Hernández Aguirre, Carlos A. Coello Coello
    Fitness Landscape and Evolutionary Boolean Synthesis using Information. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2003, pp:13-16 [Conf]
  7. Arturo Hernández Aguirre, Ricardo Salem Zebulum, Carlos A. Coello Coello
    Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2004, pp:199-0 [Conf]
  8. Arturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello
    On Learning kDNFsn Boolean Formulas. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2001, pp:240-248 [Conf]
  9. Carlos A. Coello Coello, Arturo Hernández Aguirre, Bill P. Buckles
    Evolutionary Multiobjective Design of Combinational Logic Circuits. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2000, pp:161-172 [Conf]
  10. Carlos A. Coello Coello, Enrique Alba, Gabriel Luque, Arturo Hernández Aguirre
    Comparing Different Serial and Parallel Heuristics to Design Combinational Logic Circuits. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2003, pp:3-12 [Conf]
  11. Carlos A. Coello Coello, Erika Hernández Luna, Arturo Hernández Aguirre
    A Comparative Study of Encodings to Design Combinational Logic Circuits Using Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2004, pp:71-78 [Conf]
  12. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello
    IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:73-87 [Conf]
  13. Carlos A. Coello Coello
    A Short Tutorial on Evolutionary Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2001, pp:21-40 [Conf]
  14. Carlos A. Coello Coello, Gregorio Toscano Pulido
    A Micro-Genetic Algorithm for Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2001, pp:126-140 [Conf]
  15. Gregorio Toscano Pulido, Carlos A. Coello Coello
    The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:252-266 [Conf]
  16. Margarita Reyes Sierra, Carlos A. Coello Coello
    Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance. [Citation Graph (0, 0)][DBLP]
    EMO, 2005, pp:505-519 [Conf]
  17. Gregorio Toscano Pulido, Carlos A. Coello Coello, Luis V. Santana-Quintero
    EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:272-285 [Conf]
  18. Arturo Hernández Aguirre, Carlos A. Coello Coello
    Gate-level Synthesis of Boolean Functions using Information Theory Concepts. [Citation Graph (0, 0)][DBLP]
    ENC, 2003, pp:268-0 [Conf]
  19. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello
    IS-PAES: Evolutionary Multi-Objective Optimization with Constraint Handling. [Citation Graph (0, 0)][DBLP]
    ENC, 2003, pp:338-0 [Conf]
  20. Ricardo Landa Becerra, Carlos A. Coello Coello
    Culturizing Differential Evolution for Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    ENC, 2004, pp:304-311 [Conf]
  21. Efrén Mezura-Montes, Carlos A. Coello Coello
    Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    ENC, 2003, pp:192-199 [Conf]
  22. Efrén Mezura-Montes, Carlos A. Coello Coello
    Saving Evaluations in Differential Evolution for Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    ENC, 2005, pp:274-281 [Conf]
  23. Edgar Galván López, Riccardo Poli, Carlos A. Coello Coello
    Reusing Code in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2004, pp:359-368 [Conf]
  24. Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma
    Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    FOGA, 2005, pp:95-111 [Conf]
  25. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga
    Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:573-584 [Conf]
  26. Ricardo Landa Becerra, Carlos A. Coello Coello
    Optimization with constraints using a cultured differential evolution approach. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:27-34 [Conf]
  27. Ricardo Landa Becerra, Carlos A. Coello Coello
    Use of domain information to improve the performance of an evolutionary algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:362-365 [Conf]
  28. Carlos A. Coello Coello, Ricardo Landa Becerra
    Adding Knowledge And Efficient Data Structures To Evolutionary Programming: A Cultural Algorithm For Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:201-209 [Conf]
  29. Nareli Cruz Cortés, Carlos A. Coello Coello
    Multiobjective Optimization Using Ideas from the Clonal Selection Principle. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:158-170 [Conf]
  30. Héctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre, Carlos A. Coello Coello
    Efficient Affine 2D-image Registration Using Evolutionary Strategies. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1263- [Conf]
  31. Alfredo García Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello, Rafael Caballero, Julián Molina Luque
    A new proposal for multi-objective optimization using differential evolution and rough sets theory. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:675-682 [Conf]
  32. Efrén Mezura-Montes, Carlos A. Coello Coello
    A Simple Evolution Strategy to Solve Constrained Optimization Problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:640-641 [Conf]
  33. Efrén Mezura-Montes, Carlos A. Coello Coello
    An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:700-712 [Conf]
  34. Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello
    Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:225-232 [Conf]
  35. Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello
    A comparative study of differential evolution variants for global optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:485-492 [Conf]
  36. Gregorio Toscano Pulido, Carlos A. Coello Coello
    Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:225-237 [Conf]
  37. Margarita Reyes Sierra, Carlos A. Coello Coello
    Dynamic fitness inheritance proportion for multi-objective particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:89-90 [Conf]
  38. Carlos A. Coello Coello
    Evolutionary Multi-Objective Optimization: Current State and Future Challenges. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:5- [Conf]
  39. Ricardo Landa Becerra, Carlos A. Coello Coello
    A Cultural Algorithm with Differential Evolution to Solve Constrained Optimization Problems. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2004, pp:881-890 [Conf]
  40. Carlos A. Coello Coello
    Using the Min-Max Method to Solve Multiobjective Optimization Problems with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 1998, pp:303-314 [Conf]
  41. Nareli Cruz Cortés, Francisco Rodríguez-Henríquez, Carlos A. Coello Coello
    On the Optimal Computaion of Finite Field Exponentiation. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2004, pp:747-756 [Conf]
  42. Susana C. Esquivel, Carlos A. Coello Coello
    Particle Swarm Optimization in Non-stationary Environments. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2004, pp:757-766 [Conf]
  43. Carlos A. Coello Coello, Daniel Cortés Rivera, Nareli Cruz Cortés
    Use of an Artificial Immune System for Job Shop Scheduling. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2003, pp:1-10 [Conf]
  44. Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma
    Convergence Analysis of a Multiobjective Artificial Immune System Algorithm. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2004, pp:226-235 [Conf]
  45. Nareli Cruz Cortés, Daniel Trejo-Pérez, Carlos A. Coello Coello
    Handling Constraints in Global Optimization Using an Artificial Immune System. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:234-247 [Conf]
  46. E. Islas Pérez, Carlos A. Coello Coello, Arturo Hernández Aguirre
    Extraction of Design Patterns from Evolutionary Algorithms Using Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    ICES, 2001, pp:244-255 [Conf]
  47. Arturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello
    GA-Based Learning of kDNFns Boolean Formulas. [Citation Graph (0, 0)][DBLP]
    ICES, 2001, pp:279-290 [Conf]
  48. Arturo Hernández Aguirre, Edgar C. González Equihua, Carlos A. Coello Coello
    Synthesis of Boolean Functions Using Information Theory. [Citation Graph (0, 0)][DBLP]
    ICES, 2003, pp:218-227 [Conf]
  49. Carlos A. Coello Coello, Erika Hernández Luna, Arturo Hernández Aguirre
    Use of Particle Swarm Optimization to Design Combinational Logic Circuits. [Citation Graph (0, 0)][DBLP]
    ICES, 2003, pp:398-409 [Conf]
  50. Carlos A. Coello Coello, Rosa Laura Zavala Gutierrez, Benito Mendoza García, Arturo Hernández Aguirre
    Ant Colony System for the Design of Combinational Logic Circuits. [Citation Graph (0, 0)][DBLP]
    ICES, 2000, pp:21-30 [Conf]
  51. Carlos A. Coello Coello, Michael Rudnick, Alan D. Christiansen
    Using Genetic Algorithms for Optimal Design of Trusses. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1994, pp:88-94 [Conf]
  52. Efrén Mezura-Montes, Carlos A. Coello Coello, Ricardo Landa Becerra
    Engineering Optimization Using a Simple Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2003, pp:149-156 [Conf]
  53. Carlos A. Coello Coello
    An Introduction to Evolutionary Algorithms and Their Applications. [Citation Graph (0, 0)][DBLP]
    ISSADS, 2005, pp:425-442 [Conf]
  54. Carlos A. Coello Coello, Ricardo Landa Becerra
    A Cultural Algorithm for Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    MICAI, 2002, pp:98-107 [Conf]
  55. Carlos A. Coello Coello, Margarita Reyes Sierra
    A Study of the Parallelization of a Coevolutionary Multi-objective Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    MICAI, 2004, pp:688-697 [Conf]
  56. Efrén Mezura-Montes, Carlos A. Coello Coello, Edy I. Tun-Morales
    Simple Feasibility Rules and Differential Evolution for Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    MICAI, 2004, pp:707-716 [Conf]
  57. Efrén Mezura-Montes, Carlos A. Coello Coello
    Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:652-662 [Conf]
  58. Luis V. Santana-Quintero, Noel Ramírez-Santiago, Carlos A. Coello Coello
    A Multi-objective Particle Swarm Optimizer Hybridized with Scatter Search. [Citation Graph (0, 0)][DBLP]
    MICAI, 2006, pp:294-304 [Conf]
  59. Margarita Reyes Sierra, Carlos A. Coello Coello
    Coevolutionary Multi-objective Optimization Using Clustering Techniques. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:603-612 [Conf]
  60. E. Islas Pérez, Carlos A. Coello Coello, Arturo Hernández Aguirre, Alejandro Villavicencio Ramírez
    Genetic Algorithms and Case-Based Reasoning as a Discovery and Learning Machine in the Optimization of Combinational Logic Circuits. [Citation Graph (0, 0)][DBLP]
    MICAI, 2002, pp:128-137 [Conf]
  61. Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello
    A Particle Swarm Optimizer for Constrained Numerical Optimization. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:910-919 [Conf]
  62. Ricardo Landa Becerra, Carlos A. Coello Coello
    Solving Hard Multiobjective Optimization Problems Using epsilon-Constraint with Cultured Differential Evolution. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:543-552 [Conf]
  63. Héctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre, José L. Marroquín, Carlos A. Coello Coello
    Robust Multiscale Affine 2D-Image Registration through Evolutionary Strategies. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:740-748 [Conf]
  64. Luis V. Santana-Quintero, Noel Ramírez-Santiago, Carlos A. Coello Coello, Julián Molina Luque, Alfredo García Hernández-Díaz
    A New Proposal for Multiobjecive Optimization Using Particle Swarm Optimization and Rough Sets Theory. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:483-492 [Conf]
  65. Carlos A. Coello Coello, Efrén Mezura-Montes
    Constraint-handling in genetic algorithms through the use of dominance-based tournament selection. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2002, v:16, n:3, pp:193-203 [Journal]
  66. Carlos A. Coello Coello, Arturo Hernández Aguirre
    Design of combinational logic circuits through an evolutionary multiobjective optimization approach. [Citation Graph (0, 0)][DBLP]
    AI EDAM, 2002, v:16, n:1, pp:39-53 [Journal]
  67. Arturo Hernández Aguirre, Carlos A. Coello Coello
    Evolutionary Synthesis of Logic Circuits Using Information Theory. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2003, v:20, n:3-4, pp:445-471 [Journal]
  68. Carlos A. Coello Coello
    An updated survey of GA-based multiobjective optimization techniques. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2000, v:32, n:2, pp:109-143 [Journal]
  69. Carlos A. Coello Coello, Nareli Cruz Cortés
    Solving Multiobjective Optimization Problems Using an Artificial Immune System. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2005, v:6, n:2, pp:163-190 [Journal]
  70. Carlos A. Coello Coello
    A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 1999, v:1, n:3, pp:129-156 [Journal]
  71. E. Islas Pérez, Carlos A. Coello Coello, Arturo Hernández Aguirre
    Extraction and reuse of design patterns from genetic algorithms using case-based reasoning. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:1, pp:44-53 [Journal]
  72. Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma
    Asymptotic convergence of metaheuristics for multiobjective optimization problems. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:11, pp:1001-1005 [Journal]
  73. Carlos A. Coello Coello
    Guest editorial: special issue on evolutionary multiobjective optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2003, v:7, n:2, pp:97-99 [Journal]
  74. Carlos A. Coello Coello, Gregorio Toscano Pulido, M. Salazar Lechuga
    Handling Multiple Objectives With Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:3, pp:256-279 [Journal]
  75. Efrén Mezura-Montes, Carlos A. Coello Coello
    A simple multimembered evolution strategy to solve constrained optimization problems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:1, pp:1-17 [Journal]
  76. Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi
    Convergence of stochastic search algorithms to gap-free pareto front approximations. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:892-901 [Conf]
  77. Ricardo Landa Becerra, Carlos A. Coello Coello, Alfredo García Hernández-Díaz, Rafael Caballero, Julián Molina Luque
    Alternative techniques to solve hard multi-objective optimization problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:757-754 [Conf]
  78. Ricardo Landa Becerra, Carlos A. Coello Coello
    Epsilon-constraint with an efficient cultured differential evolution. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2787-2794 [Conf]
  79. Carlos A. Coello Coello
    Constraint-handling techniques used with evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:3057-3077 [Conf]
  80. Carlos Soza, Ricardo Landa, María-Cristina Riff, Carlos Coello
    A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems. [Citation Graph (0, 0)][DBLP]
    IFSA, 2007, pp:810-819 [Conf]
  81. Juan C. Fuentes Cabrera, Carlos A. Coello Coello
    Handling Constraints in Particle Swarm Optimization Using a Small Population Size. [Citation Graph (0, 0)][DBLP]
    MICAI, 2007, pp:41-51 [Conf]
  82. Ramiro Serrato Paniagua, Juan J. Flores, Carlos A. Coello Coello
    A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach. [Citation Graph (0, 0)][DBLP]
    MICAI, 2007, pp:30-40 [Conf]
  83. Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello
    A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor. [Citation Graph (0, 0)][DBLP]
    MICAI, 2007, pp:19-29 [Conf]
  84. Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi
    Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms. [Citation Graph (0, 0)][DBLP]
    MICAI, 2007, pp:128-138 [Conf]
  85. Antonio Lopez Jaimes, Carlos A. Coello Coello
    MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2294-2301 [Conf]
  86. Margarita Reyes Sierra, Carlos A. Coello Coello
    A study of fitness inheritance and approximation techniques for multi-objective particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:65-72 [Conf]
  87. Efrén Mezura-Montes, Carlos A. Coello Coello
    Identifying on-line behavior and some sources of difficulty in two competitive approaches for constrained optimization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1477-1484 [Conf]

  88. Alternative Fitness Assignment Methods for Many-Objective Optimization Problems. [Citation Graph (, )][DBLP]


  89. Parallel Approaches for Multiobjective Optimization. [Citation Graph (, )][DBLP]


  90. Online Objective Reduction to Deal with Many-Objective Problems. [Citation Graph (, )][DBLP]


  91. Multi-Objective Particle Swarm Optimizers: An Experimental Comparison. [Citation Graph (, )][DBLP]


  92. Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems. [Citation Graph (, )][DBLP]


  93. Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization. [Citation Graph (, )][DBLP]


  94. A new memetic strategy for the numerical treatment of multi-objective optimization problems. [Citation Graph (, )][DBLP]


  95. Solving constrained multi-objective problems by objective space analysis. [Citation Graph (, )][DBLP]


  96. Objective reduction using a feature selection technique. [Citation Graph (, )][DBLP]


  97. Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. [Citation Graph (, )][DBLP]


  98. Accelerating convergence using rough sets theory for multi-objective optimization problems. [Citation Graph (, )][DBLP]


  99. Constraint-handling techniques used with evolutionary algorithms. [Citation Graph (, )][DBLP]


  100. Limiting the velocity in particle swarm optimization using a geometric series. [Citation Graph (, )][DBLP]


  101. Evolutionary continuation methods for optimization problems. [Citation Graph (, )][DBLP]


  102. Study of preference relations in many-objective optimization. [Citation Graph (, )][DBLP]


  103. Some techniques to deal with many-objective problems. [Citation Graph (, )][DBLP]


  104. A multi-objective meta-model assisted memetic algorithm with non gradient-based local search. [Citation Graph (, )][DBLP]


  105. A novel diversification strategy for multi-objective evolutionary algorithms. [Citation Graph (, )][DBLP]


  106. Constraint-handling techniques used with evolutionary algorithms. [Citation Graph (, )][DBLP]


  107. Using gradient information for multi-objective problems in the evolutionary context. [Citation Graph (, )][DBLP]


  108. New challenges for memetic algorithms on continuous multi-objective problems. [Citation Graph (, )][DBLP]


  109. Some comments on GD and IGD and relations to the Hausdorff distance. [Citation Graph (, )][DBLP]


  110. Optimization to Manage Supply Chain Disruptions Using the NSGA-II. [Citation Graph (, )][DBLP]


  111. Solving Permutation Problems with Differential Evolution: An Application to the Jobshop Scheduling Problem. [Citation Graph (, )][DBLP]


  112. A Particle Swarm Optimization Method for Multimodal Optimization Based on Electrostatic Interaction. [Citation Graph (, )][DBLP]


  113. Ranking Methods for Many-Objective Optimization. [Citation Graph (, )][DBLP]


  114. A Study of Convergence Speed in Multi-objective Metaheuristics. [Citation Graph (, )][DBLP]


  115. Approximating the Knee of an MOP with Stochastic Search Algorithms. [Citation Graph (, )][DBLP]


  116. On the Use of Projected Gradients for Constrained Multiobjective Optimization Problems. [Citation Graph (, )][DBLP]


  117. A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques. [Citation Graph (, )][DBLP]


  118. Approximate Solutions in Space Mission Design. [Citation Graph (, )][DBLP]


  119. Testing the Permutation Space Based Geometric Differential Evolution on the Job-Shop Scheduling Problem. [Citation Graph (, )][DBLP]


  120. Objective Space Partitioning Using Conflict Information for Many-Objective Optimization. [Citation Graph (, )][DBLP]


  121. A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model. [Citation Graph (, )][DBLP]


  122. pMODE-LD+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization. [Citation Graph (, )][DBLP]


  123. A coevolutionary multi-objective evolutionary algorithm. [Citation Graph (, )][DBLP]


  124. Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems. [Citation Graph (, )][DBLP]


  125. Applications of multi-objective evolutionary algorithms in economics and finance: A survey. [Citation Graph (, )][DBLP]


  126. A bi-population PSO with a shake-mechanism for solving constrained numerical optimization. [Citation Graph (, )][DBLP]


  127. An ant system with steps counter for the job shop scheduling problem. [Citation Graph (, )][DBLP]


  128. Constraint handling techniques for a non-parametric real-valued estimation distribution algorithm. [Citation Graph (, )][DBLP]


  129. A boundary search based ACO algorithm coupled with stochastic ranking. [Citation Graph (, )][DBLP]


  130. Seeding the initial population of a multi-objective evolutionary algorithm using gradient-based information. [Citation Graph (, )][DBLP]


  131. Auto-tuning fuzzy granulation for evolutionary optimization. [Citation Graph (, )][DBLP]


  132. A comparative study of the effect of parameter scalability in multi-objective metaheuristics. [Citation Graph (, )][DBLP]


  133. A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization. [Citation Graph (, )][DBLP]


  134. Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. [Citation Graph (, )][DBLP]


  135. Evolutionary hidden information detection by granulation-based fitness approximation. [Citation Graph (, )][DBLP]


  136. Solving timetabling problems using a cultural algorithm. [Citation Graph (, )][DBLP]


  137. MRMOGA: a new parallel multi-objective evolutionary algorithm based on the use of multiple resolutions. [Citation Graph (, )][DBLP]


  138. Evolutionary multiobjective optimization using an outranking-based dominance generalization. [Citation Graph (, )][DBLP]


  139. DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems. [Citation Graph (, )][DBLP]


  140. Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP [Citation Graph (, )][DBLP]


  141. Pareto-adaptive epsilon-dominance. [Citation Graph (, )][DBLP]


  142. Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms. [Citation Graph (, )][DBLP]


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