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Kalyanmoy Deb: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kalyanmoy Deb, Abbadi Raji Reddy
    Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2003, pp:141-152 [Conf]
  2. Akshay Mohan, Kalyanmoy Deb
    Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation. [Citation Graph (0, 0)][DBLP]
    AFSS, 2002, pp:414-420 [Conf]
  3. Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer
    04461 Summary - Practical Approaches to Multi-Criterion Optimization. [Citation Graph (0, 0)][DBLP]
    Practical Approaches to Multi-Objective Optimization, 2005, pp:- [Conf]
  4. Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer
    04461 Abstracts Collection - Practical Approaches to Multi-Objective Optimization. [Citation Graph (0, 0)][DBLP]
    Practical Approaches to Multi-Objective Optimization, 2005, pp:- [Conf]
  5. Kalyanmoy Deb
    A Tutorial on Evolutionary Multi-Objective Optimization (EMO). [Citation Graph (0, 0)][DBLP]
    Practical Approaches to Multi-Objective Optimization, 2005, pp:- [Conf]
  6. Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb
    On Properly Pareto Optimal Solutions. [Citation Graph (0, 0)][DBLP]
    Practical Approaches to Multi-Objective Optimization, 2005, pp:- [Conf]
  7. Hussein A. Abbass, Kalyanmoy Deb
    Searching under Multi-evolutionary Pressures. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:391-404 [Conf]
  8. Vineet R. Khare, Xin Yao, Kalyanmoy Deb
    Performance Scaling of Multi-objective Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:376-390 [Conf]
  9. Robert T. F. Ah King, Harry C. S. Rughooputh, Kalyanmoy Deb
    Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches. [Citation Graph (0, 0)][DBLP]
    EMO, 2005, pp:677-691 [Conf]
  10. Kalyanmoy Deb, Tushar Goel
    Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence. [Citation Graph (0, 0)][DBLP]
    EMO, 2001, pp:67-81 [Conf]
  11. Kalyanmoy Deb, Tushar Goel
    A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design. [Citation Graph (0, 0)][DBLP]
    EMO, 2001, pp:385-399 [Conf]
  12. Kalyanmoy Deb, Himanshu Gupta
    Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2005, pp:150-164 [Conf]
  13. Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra
    Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:222-236 [Conf]
  14. Kalyanmoy Deb, Amrit Pratap, T. Meyarivan
    Constrained Test Problems for Multi-objective Evolutionary Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2001, pp:284-298 [Conf]
  15. Kalyanmoy Deb, Santosh Tiwari
    Omni-optimizer: A Procedure for Single and Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2005, pp:47-61 [Conf]
  16. Kalyanmoy Deb, Pawan Zope, Abhishek Jain
    Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:534-549 [Conf]
  17. Marco Farina, Kalyanmoy Deb, Paolo Amato
    Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:311-326 [Conf]
  18. Abbadi Raji Reddy, Kalyanmoy Deb
    Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:623-637 [Conf]
  19. Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari
    Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. [Citation Graph (0, 0)][DBLP]
    EMO, 2005, pp:311-325 [Conf]
  20. Dhish Kumar Saxena, Kalyanmoy Deb
    Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:772-787 [Conf]
  21. Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca
    Multi-objective Evolutionary Algorithms for Resource Allocation Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:401-416 [Conf]
  22. Kalyanmoy Deb, Shamik Chaudhuri
    I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:788-802 [Conf]
  23. Kalyanmoy Deb, Udaya Bhaskara Rao N., S. Karthik
    Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:803-817 [Conf]
  24. Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall
    Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:66-80 [Conf]
  25. Samarjit Chakraborty, Sudipta Dey, Kalyanmoy Deb
    Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 1999, pp:150-161 [Conf]
  26. Kalyanmoy Deb, Samir Agrawal
    Understanding Interactions among Genetic Algorithm Parameters. [Citation Graph (0, 0)][DBLP]
    FOGA, 1998, pp:265-286 [Conf]
  27. Kalyanmoy Deb, David E. Goldberg
    Analyzing Deception in Trap Functions. [Citation Graph (0, 0)][DBLP]
    FOGA, 1992, pp:93-108 [Conf]
  28. David E. Goldberg, Kalyanmoy Deb
    A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    FOGA, 1990, pp:69-93 [Conf]
  29. David E. Goldberg, Kalyanmoy Deb, James H. Clark
    Accounting for Noise in the Sizing of Populations. [Citation Graph (0, 0)][DBLP]
    FOGA, 1992, pp:127-140 [Conf]
  30. Kalyanmoy Deb
    Construction of Test Problems for Multi-Objective Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:164-171 [Conf]
  31. Kalyanmoy Deb, Hans-Georg Beyer
    Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:172-179 [Conf]
  32. Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
    Towards estimating nadir objective vector using evolutionary approaches. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:643-650 [Conf]
  33. Kalyanmoy Deb, Naveen Kumar Gupta
    Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:1042-1053 [Conf]
  34. Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri, Saptarshi Majumdar
    Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:920-931 [Conf]
  35. Kalyanmoy Deb, Koushik Pal
    Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:1054-1065 [Conf]
  36. Kalyanmoy Deb, J. Sundar
    Reference point based multi-objective optimization using evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:635-642 [Conf]
  37. Kalyanmoy Deb, Aravind Srinivasan
    Innovization: innovating design principles through optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1629-1636 [Conf]
  38. Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen
    Multi-objective test problems, linkages, and evolutionary methodologies. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1141-1148 [Conf]
  39. Marco Laumanns, Lothar Thiele, Eckart Zitzler, Kalyanmoy Deb
    Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:439-447 [Conf]
  40. Gulshan Singh, Kalyanmoy Deb
    Comparison of multi-modal optimization algorithms based on evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1305-1312 [Conf]
  41. David E. Goldberg, Kalyanmoy Deb, Bradley Korb
    Don't Worry, Be Messy. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:24-30 [Conf]
  42. David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik
    RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:56-64 [Conf]
  43. Kalyanmoy Deb, David E. Goldberg
    An Investigation of Niche and Species Formation in Genetic Function Optimization. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:42-50 [Conf]
  44. Kalyanmoy Deb, Mayank Goyal
    Optimizing Engineering Designs Using a Combined Genetic Search. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:521-528 [Conf]
  45. Kalyanmoy Deb, Vikas Saxena
    Car Suspension Design for Comfort Using Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:553-560 [Conf]
  46. Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald
    Finding Knees in Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:722-731 [Conf]
  47. Hans-Georg Beyer, Kalyanmoy Deb
    On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:59-68 [Conf]
  48. Samarjit Chakraborty, Kalyanmoy Deb
    Analytic Curve Detection from a Noisy Binary Edge Map Using Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:129-138 [Conf]
  49. Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan
    A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:849-858 [Conf]
  50. Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh
    Learning to Avoid Moving Obstacles Optimally for Mobile Robots Using a Genetic-Fuzzy Approach. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:583-592 [Conf]
  51. Kalyanmoy Deb, Amrit Pratap, Subrajyoti Moitra
    Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:859-868 [Conf]
  52. David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn
    Massive Multimodality, Deception, and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:37-48 [Conf]
  53. Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg
    Ordering Genetic Algorithms and Deception. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:49-58 [Conf]
  54. Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
    Long Path Problems. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:149-158 [Conf]
  55. Saku Kukkonen, Kalyanmoy Deb
    A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:553-562 [Conf]
  56. Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl, Kalyanmoy Deb
    Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:44-53 [Conf]
  57. Kalyanmoy Deb, Shamik Chaudhuri
    I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:690-695 [Conf]
  58. Lam T. Bui, Kalyanmoy Deb, Hussein A. Abbass, Daryl Essam
    Dual Guidance in Evolutionary Multi-objective Optimization by Localization. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:384-391 [Conf]
  59. Shashi Mittal, Kalyanmoy Deb
    Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives. [Citation Graph (0, 0)][DBLP]
    CIG, 2006, pp:197-204 [Conf]
  60. Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh
    Optimal turning gait of a six-legged robot using a GA-fuzzy approach. [Citation Graph (0, 0)][DBLP]
    AI EDAM, 2000, v:14, n:3, pp:207-219 [Journal]
  61. Kalyanmoy Deb, David E. Goldberg
    Sufficient Conditions for Deceptive and Easy Binary Functions. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 1993, v:10, n:4, pp:385-408 [Journal]
  62. Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
    Implicit Niching in a Learning Classifier System: Nature's Way. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1994, v:2, n:1, pp:37-66 [Journal]
  63. Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, Eckart Zitzler
    Combining Convergence and Diversity in Evolutionary Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2002, v:10, n:3, pp:263-282 [Journal]
  64. Uday Kumar Chakraborty, Kalyanmoy Deb, Mandira Chakraborty
    Analysis of Selection Algorithms: A Markov Chain Approach. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1996, v:4, n:2, pp:133-167 [Journal]
  65. Kalyanmoy Deb
    Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:3, pp:205-230 [Journal]
  66. Kalyanmoy Deb, Ashish Anand, Dhiraj Joshi
    A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2002, v:10, n:4, pp:345-369 [Journal]
  67. Kalyanmoy Deb, Hans-Georg Beyer
    Self-Adaptive Genetic Algorithms with Simulated Binary Crossover. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2001, v:9, n:2, pp:197-221 [Journal]
  68. Kalyanmoy Deb, Partha Chakroborty
    Time Scheduling of Transit Systems With Transfer Considerations Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1998, v:6, n:1, pp:1-24 [Journal]
  69. Kalyanmoy Deb, Himanshu Gupta
    Introducing Robustness in Multi-Objective Optimization. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2006, v:14, n:4, pp:463-494 [Journal]
  70. N. Srinivas, Kalyanmoy Deb
    Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1994, v:2, n:3, pp:221-248 [Journal]
  71. Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
    Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2000, v:8, n:2, pp:173-195 [Journal]
  72. Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra
    Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2005, v:13, n:4, pp:501-525 [Journal]
  73. Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh
    A genetic-fuzzy approach for mobile robot navigation among moving obstacles. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1999, v:20, n:2, pp:145-172 [Journal]
  74. Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh
    Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2002, v:41, n:1, pp:1-20 [Journal]
  75. Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan
    A fast and elitist multiobjective genetic algorithm: NSGA-II. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:2, pp:182-197 [Journal]
  76. Marco Farina, Kalyanmoy Deb, Paolo Amato
    Dynamic multiobjective optimization problems: test cases, approximations, and applications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:5, pp:425-442 [Journal]
  77. Hans-Georg Beyer, Kalyanmoy Deb
    On self-adaptive features in real-parameter evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2001, v:5, n:3, pp:250-270 [Journal]
  78. Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, Thomas Stidsen
    Test-case generator for nonlinear continuous parameter optimization techniques. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2000, v:4, n:3, pp:197-215 [Journal]
  79. John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo
    Genetic Programming 1998: Proceedings of the Third Annual Conference. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1999, v:3, n:2, pp:159-161 [Journal]
  80. Kalyanmoy Deb, Abhishek Kumar
    Interactive evolutionary multi-objective optimization and decision-making using reference direction method. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:781-788 [Conf]
  81. Kalyanmoy Deb
    Evolutionary practical optimization. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:3093-3132 [Conf]
  82. Eckart Zitzler, Kalyanmoy Deb
    Evolutionary multiobjective optimization. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:3792-3809 [Conf]
  83. Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe
    Self-adaptive simulated binary crossover for real-parameter optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1187-1194 [Conf]
  84. Himanshu Gupta, Kalyanmoy Deb
    Handling constraints in robust multi-objective optimization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:25-32 [Conf]
  85. Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb
    A population-based, steady-state procedure for real-parameter optimization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:514-521 [Conf]
  86. Vipin K. Tripathi, Bhaskar DasGupta, Kalyanmoy Deb
    A Computational Method for Viewing Molecular Interactions in Docking. [Citation Graph (0, 0)][DBLP]
    VIEW, 2006, pp:152-163 [Conf]
  87. Kalyanmoy Deb, Swanand Lele, Rituparna Datta
    A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    ISICA, 2007, pp:36-45 [Conf]
  88. Kalyanmoy Deb, Nikhil Padhye, Ganesh Neema
    Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    ISICA, 2007, pp:26-35 [Conf]

  89. Introduction to Evolutionary Multiobjective Optimization. [Citation Graph (, )][DBLP]


  90. 06501 Abstracts Collection - Practical Approaches to Multi-Objective Optimization. [Citation Graph (, )][DBLP]


  91. Future Challenges. [Citation Graph (, )][DBLP]


  92. A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point. [Citation Graph (, )][DBLP]


  93. Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  94. AMGA: an archive-based micro genetic algorithm for multi-objective optimization. [Citation Graph (, )][DBLP]


  95. A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms. [Citation Graph (, )][DBLP]


  96. A robust evolutionary framework for multi-objective optimization. [Citation Graph (, )][DBLP]


  97. In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm. [Citation Graph (, )][DBLP]


  98. Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. [Citation Graph (, )][DBLP]


  99. Evolutionary multiobjective optimization. [Citation Graph (, )][DBLP]


  100. Evolutionary practical optimization. [Citation Graph (, )][DBLP]


  101. Evolutionary multi-objective optimization and decision making for selective laser sintering. [Citation Graph (, )][DBLP]


  102. Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach. [Citation Graph (, )][DBLP]


  103. Investigating EA solutions for approximate KKT conditions in smooth problems. [Citation Graph (, )][DBLP]


  104. Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. [Citation Graph (, )][DBLP]


  105. Evolutionary algorithms in large-scale open pit mine scheduling. [Citation Graph (, )][DBLP]


  106. Evolutionary multi-criterion optimization. [Citation Graph (, )][DBLP]


  107. A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence. [Citation Graph (, )][DBLP]


  108. Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography. [Citation Graph (, )][DBLP]


  109. NEMO: neural enhancement for multiobjective optimization. [Citation Graph (, )][DBLP]


  110. A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. [Citation Graph (, )][DBLP]


  111. Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms. [Citation Graph (, )][DBLP]


  112. Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. [Citation Graph (, )][DBLP]


  113. Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. [Citation Graph (, )][DBLP]


  114. A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming. [Citation Graph (, )][DBLP]


  115. Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems. [Citation Graph (, )][DBLP]


  116. Reliability-based optimization for multiple constraints with evolutionary algorithms. [Citation Graph (, )][DBLP]


  117. The sequential optimization-constraint multi-objective problem and its applications for robust planning of robot paths. [Citation Graph (, )][DBLP]


  118. Light beam search based multi-objective optimization using evolutionary algorithms. [Citation Graph (, )][DBLP]


  119. Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design. [Citation Graph (, )][DBLP]


  120. Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. [Citation Graph (, )][DBLP]


  121. Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure. [Citation Graph (, )][DBLP]


  122. Design and validation of a hybrid interactive reference point method for multi-objective optimization. [Citation Graph (, )][DBLP]


  123. Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms. [Citation Graph (, )][DBLP]


  124. Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems. [Citation Graph (, )][DBLP]


  125. Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data. [Citation Graph (, )][DBLP]


  126. Constrained many-objective optimization: A way forward. [Citation Graph (, )][DBLP]


  127. Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems. [Citation Graph (, )][DBLP]


  128. Constructing test problems for bilevel evolutionary multi-objective optimization. [Citation Graph (, )][DBLP]


  129. An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones. [Citation Graph (, )][DBLP]


  130. Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system. [Citation Graph (, )][DBLP]


  131. An interactive evolutionary multi-objective optimization and decision making procedure. [Citation Graph (, )][DBLP]


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