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Papers published in Conferences (INCOMPLETE LIST)

Following is the list of papers published in various international conferences by Prof. Kalyanmoy Deb and KanGAL members.

  1. Deb, K. and Tiwaris, S. (2005). Omni-Optimizer: A procedure for single and multi-objective optimization. Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO-2005). Guanajuato, Mexico. Lecture Notes on Computer Science 3410, pages 41-65.

  2. Deb, K. and Gupta, H. (2005). Searching for robust Pareto-optimal solutions in multi-objective optimization. Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO-2005). Guanajuato, Mexico. Lecture Notes on Computer Science 3410, pages 150-164.

  3. Shukla, P. and Deb, K. (2005). Comparing classical generating methods with an evolutionary multi-objective optimization method. Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO-2005). Guanajuato, Mexico. Lecture Notes on Computer Science 3410, pages 311-325.

  4. Ah King, R. T. F., Rughooputh, H. C. S. and Deb, K. (2005). Evolutionary multi-objective environmental/economic dispatch: Stochastic versus deterministic approaches. Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO-2005). Guanajuato, Mexico. Lecture Notes on Computer Science 3410, pages 677-691.

  5. Branke, J., Deb, K., Dierolf, H., and Osswald, M. (2004). Finding knees in multi-objective optimization, In Parallel Problem Solving from Nature (PPSN-VIII), LNCS 3242, Springer, pp. 722-731.

  6. Deb, K. and Pal. K. (2004). Solving large-scale integer linear programs using a customized genetic algorithm. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2004. Seattle, 26-30 June, pp. 1054-1065. (Also Lecture Notes in Computer Science (LNCS) 3102).

  7. Deb, K. and Gupta, N. (2004). Optimal operating conditions for overhead crane maneuvering using multi-objective evolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2004. Seattle, 26-30 June, pp. 1042-1053. (Also Lecture Notes in Computer Science (LNCS) 3102).

  8. Deb, K., Mitra, K., Dewri, R. and Majumdar, S. (2004). Unveiling optimal operating conditions for an epoxy polymerization process using multi-objective evolutionary computation. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2004. Seattle, 26-30 June, pp. 920-931. (Also Lecture Notes in Computer Science (LNCS) 3102).

  9. Branke, J., Schmeck, H., Deb, K. and Reddy. M. (2004). Parallelizing multi-objective evolutionary algorithms: Cone separation. Proceedings of the Congress on Evolutionary Computation (CEC-2004). pages 1952-1957.

  10. Deb, K. and Reddy, A. R. (2003). Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm. Proceedings of the 6th International Conference on Artificial Evolution (EA-2003). Marseille, France. pp. 248-259.

  11. Nain, P. K. S. and Deb, K. (2003). Computationally effective search and optimization procedure using coarse to fine approximations. Proceedings of the Congress on Evolutionary Computation (CEC-2003), Canberra, Australia, pp. 2081-2088.

  12. Deb, K., Chaudhuri, S., Jain, P., Naveen, G., and Maji, H. (2003). Revealing useful design principles by means of multiple conflicting objectives. International Congress on Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems (EUROGEN 2003). Barcelona, Spain.

  13. Meena, B. R., Gupta, H., Bandyopadhyay, P., Deb, K. and Adimurthy, V. (2003). Robust estimation of aerospace propulsion parameters using optimization techniques based on evolutionary algorithms. 54th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law, Bremen, Germany.

  14. Deb, K. , Zope, P. and Jain, A. (2003). Distributed Computing of Pareto-Optimal Solutions Using Multi-Objective Evolutionary Algorithms. Proceedings of the Second Evolutionary Multi-Criterion Optimization (EMO-03) Conference, 8-11 April, Faro, Portugal. 535-549. (Also Lecture Notes in Computer Science (LNCS) 2632).

  15. Corne D. W., Deb, K., Fleming, P. and Knowles, J. D. (2003). The good of the many outweighs the good of the one: Evolutionary Multi-objective optimization. The Newsletter of the IEEE Neural Networks Society, Vol. 1, No. 1. 9-13.

  16. Deb, K., Mohan, M. and Mishra, S. (2003). Towards a quick computation of well-spread Pareto-optimal solutions. Proceedings of the Second Evolutionary Multi-Criterion Optimization (EMO-03) Conference, 8-11 April, Faro, Portugal. 222-236. (Also Lecture Notes in Computer Science (LNCS) 2632).

  17. Reddy, A. R. and Deb, K. . (2003). Identification of Multiple Gene Clusters Using Multi-Objective Evolutionary Algorithms. Proceedings of the Second Evolutionary Multi-Criterion Optimization (EMO-03) Conference, 8-11 April, Faro, Portugal. 623-637. (Also Lecture Notes in Computer Science (LNCS) 2632).

  18. Khare, V., Yao, X. and Deb, K. . (2003). Performance Scaling of Multi-objective Evolutionary Algorithms. Proceedings of the Second Evolutionary Multi-Criterion Optimization (EMO-03) Conference, 8-11 April, Faro, Portugal. 376-390. (Also Lecture Notes in Computer Science (LNCS) 2632).

  19. Farina, M., Deb, K., and Amato, P. (2003) Dynamic multiobjective optimization problems: Test cases, approximation and applications. Proceedings of the Second Evolutionary Multi-Criterion Optimization (EMO-03) Conference, 8-11 April, Faro, Portugal. 310-324. (Also Lecture Notes in Computer Science (LNCS) 2632).

  20. Abbass, H. and Deb, K. (2003). Searching under multi-evolutionary pressures. Proceedings of the Second Evolutionary Multi-Criterion Optimization (EMO-03) Conference, 8-11 April, Faro, Portugal. 391-405. (Also Lecture Notes in Computer Science (LNCS) 2632).

  21. Deb, K. and Jain, S. (2002). Running performance metrics for evolutionary multi-objective optimization. Proceedings of the Fourth Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), (Singapore). pp. 13-20.

  22. Goel, T. and Deb, K. (2002). Hybrid methods for multi-objective evolutionary algorithms. Proceedings of the Fourth Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02). (Singapore), pp. 188-192.

  23. Deb, K., Joshi, D., and Anand, A. (2002). Real-coded evolutionary algorithms with parent-centric recombination. Proceedings of the Congress on Evolutionary Computation (CEC-2002). (Honolulu, USA). pp. 61-66.

  24. Deb, K., Thiele, L., Laumanns, M. and Zitzler, E. (2002). Scalable multi-objective optimization test problems. Proceedings of the Congress on Evolutionary Computation (CEC-2002). (Honolulu, USA). pp. 825-830.

  25. Laumanns, M., Thiele, L., Zitzler, E., Welzl, E. and Deb, K. (2002). Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimization problem. Proceedings of Parellel Problem Solving from Nature (PPSN-VII) Conference, (LNCS 2439), pp. 44-53.

  26. Jiménez, F., Gómez-Skarmeta, A. F., Sánchez, G. and Deb, K. (2002). An evolutionary algorithm for constrained multi-objective optimization. Proceedings of the Congress on Evolutionary Computation (CEC-2002). (Honolulu, USA). pp. 1133-1138.

  27. Mohan, A. and Deb, K. (2002). Genetic-fuzzy approach in robot motion planning revisited: Rigorous testing and towards an implementation. Proceedings of the Advances in Soft Computing Conference (AFSS-2002), 3-6 February. (Calcutta, India), pp. 414-420.

  28. Deb, K. and Goel, T. (2001) Controlled elitist non-dominated sorting genetic algorithms for better convergence. Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization (EMO-2001), 7-9 March. (Zürich, Switzerland), (pp. 67-81).

  29. Deb, K., Pratap, A., and Meyarivan, T. (2001). Constrained test problems for multi-objective evolutionary optimization. Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization (EMO-2001), 7-9 March. (Zürich, Switzerland), (pp. 284-298).

  30. Deb, K. and Goel, T. (2001). A hybrid multi-objective evolutionary approach to engineering shape design. Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization (EMO-2001), 7-9 March. (Zürich, Switzerland), (pp. 385-399).

  31. Deb, K., Pratap, A., Moitra, S. (2000). Mechanical component design for multiple objectives using elitist non-dominated sorting GA. Proceedings of the Parallel Problem Solving from Nature VI Conference, 16-20 September. (Paris, France), (pp. 859-868).

  32. Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A Fast Elitist Non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Proceedings of the Parallel Problem Solving from Nature VI Conference, 16-20 September. (Paris, France), (pp. 849-858).

  33. Beyer, H.-G. and Deb, K. (2000). On the desired behaviors of self-adaptive evolutionary algorithms. Proceedings of the Parallel Problem Solving from Nature VI Conference, 16-20 September. (Paris, France), (pp. 59-68).

  34. Deb, K. (2000). Multi-objective Evolutionary Algorithms: Past, presnt, and future. Proceedings of the Fourth Advanced Computing in Design and Manufacture (ACDM-2000) Conference, 26-28 April. (Plymouth, UK), (pp. 225-236).

  35. Deb, K. (2000). Multi-objective evolutionary algorithms. Tenth National Seminar on Aerospace Structures, 8-10 December 2000. (Kanpur, India), (pp. 116-130).

  36. Goel, T. and Deb, K. (2000). Optimal shape design using a hybrid genetic algorithms. Tenth National Seminar on Aerospace Structures, 8-10 December 2000. (Kanpur, India), (pp. 138-152).

  37. Deb, K., Khan, N. and Jindal, S. (2000). Optimal truss-structure design for multiple objectives. Tenth National Seminar on Aerospace Structures, 8-10 December 2000. (Kanpur, India), (pp. 168-180).

  38. Deb, K. (1999). Construction of test problems for multi-objective optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 13-17 July 1999. (Orlando, USA), (pp. 164-171).

  39. Deb, K. (1999). Solving goal programming problems using multi-objective genetic algorithms. Proceedings of Congress on Evolutionary Computation, 6-9 July (Washington DC, USA), (pp. 77-84).

  40. Deb, K. (1999). Evolutionary Algorithms for Multi-Criterion Optimization in Engineering Design. In K. Miettinen, M. Mäkelä, P. Neittaanmäki, and J. Périaux (Eds.) Proceedings of Evolutionary Algorithms in Engineering and Computer Science (EUROGEN-99), 29 May - 03 June 1999. (Jyväskylä, Finland), (pp. 135-161).

  41. Deb, K. and Agrawal, S. (1999). A niched-penalty approach for constraint handling in genetic algorithms. Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-99). 6-9 April, 1999. (Portoroz, Slovenia), (pp. 235-243).

  42. Deb, K. and Beyer, H.-G. (1999). Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). 13-17 July 1999. (Orlanda, USA) (pp. 172-179).

  43. Michalewicz, Z., Deb, K., Schmidt, M., and Stidsen, T., Towards Understanding Constrained-Handling Methods in Evolutionary Algorithms, Proceedings of the Congress on Evolutionary Computation, CEC'99, 6-9 July, 1999, (Washington DC), (pp. 581-588).

  44. Michalewicz, Z., Deb, K., Schmidt, M, and Stidsen, T. (1999). Evolutionary Algorithms Engineering applications. In K. Miettinen, M. Mäkelä, P. Neittaanmäki, and J. Périaux (Eds.) Proceedings of Evolutionary Algorithms in Engineering and Computer Science (EUROGEN-99). 29 May - 03 June 1999. (Jyväskylä, Finland), (pp. 73-94).

  45. Pratihar, D. K., Deb, K., and Ghosh, A. (1999). Design of a Genetic-Fuzzy System for Planning Optimal Path and Gait Simultaneously of a Six-legged Robot. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). 13-17 July 1999. (Orlanda, USA), (pp. 1678-1684).

  46. Pratihar, D.K., Deb, K., Ghosh, A. (1999). Path and gait generation of a six-legged robot--A genetic-fuzzy approach. Proceedings of the International Conference on Mathematical Modeling of Non-linear Systems, ICOMMONS99, (pp. 86-100).

  47. Pratihar, D. K., Deb, K., and Ghosh, A. (1999). Fuzzy-genetic algorithms and mobile robot navigation among static obstacles. Proceedings of Congress on Evolutionary Computation, 6-9 July (Washington DC, USA), (pp. 327-334).

  48. Pratihar, D. K., Deb, K., Ghosh, A. (1999). Mobile robot navigation among moving obstacles using GA-fuzzy approaches. Proceedings of the National Conference on Machines and Mechanisms, NACOMM-99 (pp. 394-403).

  49. Pratihar, D. K., Deb, K., Ghosh, A. (1999). Design of a genetic-fuzzy system for planning optimal turning gait of a six-legged robot. Proceedings of the International Conference on Information Technology, ICIT-99, (pp. 109-114).

  50. Oyman, A. I., Deb, K., and Beyer, H.-G. (1999). An alternative constraint handling method for evolution strategies. Proceedings of Congress on Evolutionary Computation, 6-9 July (Washington DC, USA), (pp. 612-619).

  51. Chakraborty, S., De, S., and Deb, K. (1999). Model-based object Recognition from a Complex Binary Imagery using Genetic Algorithm. In R. Poli, H.-M. Voigt, S. Cagnoni, D. Corne, G. D. Smith, and T. C. Fogarty (Eds.) Evolutionary Image Analysis and Signal Processing and Telecommunications, (EvoIASP'99), Lecture Notes in Computer Science, Springer Verlag, 1596, (pp. 150-161).

  52. Deb, K., Pratihar. D. K., and Ghosh, A. (1998). Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach. Parallel Problem Solving From Nature V, (Amsterdam, The Netherlands), (pp. 583-592).

  53. Chakraborty, S. and Deb, K. (1998). Analytic curve detection from a noisy binary edge map using genetic algorithms. Parallel Problem Solving From Nature V, (Amsterdam, The Netherlands), 129-138.

  54. Deb, K. and Chakraborti, N. (1998). A combined heat transfer and genetic algorithm modeling of an integrated steel plant bloom re-heating furnace. EUFIT'98, (Aachen, Germany), 439-443.

  55. Pratihar, D. K., Deb, K., and Ghosh, A. (1998). Planning crab gaits of a six-legged robot using a GA-Fuzzy approach. In R. N. Mahapatra (Ed.): Proceedings of the International Conference on Information Technology, (Bhubaneswar, India), New Delhi: Tata-McGraw-Hill, 221-226.

  56. Deb, K. and Gulati, S., and Chakraborti, S. (1998). Optimal truss-structure design using real-coded genetic algorithms. Symposium on Genetic Algorithms, (Madison, USA), San Mateo: Morgan Kaufmann. 479-486.

  57. Lobo, F., Deb, K., Goldberg, D. E., Harik, G. R., and Wang, L. (1998). Compressed introns in a linkage learning genetic algorithm. Symposium on Genetic Algorithms, (Madison, USA), San Mateo: Morgan Kaufmann. (pp. 551-558).

  58. Deb, K. (1998). Genetic algorithms in search and optimization: The technique and applications. Proceedings of International Workshop on Soft Computing and Intelligent Systems, (ISI, Calcutta, India), 58-87.

  59. Deb, K. (1997). Genetic algorithms as an optimization tool for engineering design. Proceedings of the Eighth National Conference on Machines and Mechanisms (NACOMM-97). (IIT Kanpur, India), C-119-130.

  60. Chakroborty, P. and Deb, K. (1997). A genetic algorithm based procedure for optimal transit systems scheduling. Proceedings of Fifth International Conference on Computers in Urban Planning and Urban Management, (IIT Mumbai, India), 330-341.

  61. Deb, K. and Saxena, V. (1997). Car suspension design for comfort using genetic algorithms. In Thomas Back (Ed.) Proceedings of the Seventh International Conference on Genetic Algorithms, (East Lansing, USA), 553-560.

  62. Deb, K. and Goyal, M. (1997). Optimizing engineering designs using a combined genetic search. In Thomas Back (Ed.) Proceedings of the Seventh International Conference on Genetic Algorithms, (East Lansing, USA), 521-528.

  63. Deb, K. (1997). Optimizing Engineering Designs: A need of time for Indian industries. Young Scientists Session at the 84th Indian Science Congress, (New Delhi, India), 36-37.

  64. Sivakumar, K., Iyenger, N. G. R., and Deb, K. (1997). Optimum design of laminated composite plates undergoing large amplitude vibration using genetic algorithms. Fourth International Conference on Composite Engineering (ICCE), (Kona, Hawaii).

  65. Deb, K. (1997). Parallel genetic algorithms: Past, present, and future. Parallel Computing Conference, (IIT Kanpur, India).

  66. Deb, K. (1995). When will genetic algorithms work? In P. K. Roy and S. D. Mehta (Eds.), Proceedings of the Symposium on Genetic Algorithms, (Dehradun, India), 5-22.

  67. Srinivas. N. and Deb, K. (1995). Comparative study of vector evaluated GA and NSGA applied to multiobjective optimization. In P. K. Roy and S. D. Mehta (Eds.), Proceedings of the Symposium on Genetic Algorithms, (Dehradun, India), 83-90.

  68. Chaturvedi, D., Deb, K., and Chakrabarty, S. K. (1995). Structural optimization using real-coded genetic algorithms. In P. K. Roy and S. D. Mehta (Eds.), Proceedings of the Symposium on Genetic Algorithms, (Dehradun, India), 73-82.

  69. Agrawal, R. B., Mukherjee, A., and Deb, K. (1995). Modelling of inexact 2D shapes using real-coded genetic algorithms. In P. K. Roy and S. D. Mehta (Eds.), Proceedings of the Symposium on Genetic Algorithms, (Dehradun, India), 41-50.

  70. Horn, J., Goldberg, D. E., Deb, K. (1995). Long path problems. Proceedings of Parallel Problem Solving from Nature, III, (Jerusalem, Israel), 149-158.

  71. Rao, T. S., Bose, S. K., Srivathsan, K. R., and Deb, K. (1995). A new approach to network topology optimization. In S. V. Raghavan and B. N. Jain (Eds.) Computer Networks, Architecture and Applications, (Bangalore, India), 358-371.

  72. Deb, K. (1993). Genetic algorithms in engineering design optimization. In J. N. Reddy et al. (Eds.), Proceedings of the Advanced Study Institute on Computational Methods for Engineering Analysis and Design, (IIT Chennai, India), 12.1-12.25.

  73. Deb, K. (1993). Genetic algorithms in optimal optical filter design. In E. Balagurusamy and B. Sushila (Eds.), Proceedings of the International Conference on Computing Congress, (Hyderabad, India), 29-36.

  74. Goldberg, D. E., Deb. K., Kargupta, H, and Harik, G. (1993). Rapid, accurate optimization of difficult problems using messy genetic algorithms. In S. Forrest (Ed.), Proceedings of the Fifth International Conference on Genetic Algorithms, (Urbana, USA), 56-64.

  75. Kargupta, H., Deb, K., and Goldberg, D. E. (1992). Ordering genetic algorithms and deception. In R. Manner and B. Manderick (Eds.), Parallel Problem Solving from Nature II, (Brussels, Belgium), 47-56.

  76. Goldberg, D. E., Deb, K., and Horn, J. (1992). Massive multimodality, deception, and genetic algorithms. In R. Manner and B. Manderick (Eds.), Parallel Problem Solving from Nature II, (Brussels, Belgium), 37-46.

  77. Goldberg, D.E., Deb, K., and Korb, B. (1991). Don't worry, be messy. In R. Belew and L. Booker (Eds.), Proceedings of the Fourth International Conference in Genetic Algorithms and their Applications, (San Diego, USA), 24-30.

  78. Parker, J. K., Tan, C., and Deb, K. (1991). Determining PID control gain by genetic algorithms, Twentysecond Annual Pittsburgh Conference on Modeling and Simulation, (Pittsburgh, USA).

  79. Deb, K. and Goldberg, D. E. (1990). Natural frequency calculation using genetic algorithms. In S. V. Hanagud et al. (Eds.), Proceedings of the Fifteenth Southeastern Conference on Theoretical and Applied Mechanics, (Atlanta, USA), 94-101.

  80. Deb, K. (1990). Optimal design of a welded beam via genetic algorithms, Proceedings of the 31st AIAA/ASME /ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference (CP-902), (Long Beach, CA, USA), 444-453.

  81. Deb, K. and Goldberg, D. E. (1989). An investigation of niche and species formation in genetic function optimization, In J. D. Schaffer (Ed.), Proceedings of the Third International Conference on Genetic Algorithms, (Washington DC, USA), 42-50.

  82. Gupta, S. and Deb, K. (1990). Strength-to-weight ratio optimization of laminated composite plates under inplane loading, In S. V. Hanagud et al. (Eds.), Proceedings of the Fifteenth Southeastern Conference on Theoretical and Applied Mechanics, (Atlanta, USA), 127-134.

  83. Wilson, H. and Deb, K. (1989). Numerical accuracy in cable dynamics equations, Proceedings of Twelfth Canadian Congress of Applied Mechanics, (Toronto, Canada), 385-386.

  84. Samanta, B., Mukherjee, A., and Deb, K. (1987). Bond graph adapted modular approach to analysis of planar mechanisms, Proceedings of Seventh World Congress on the Theory of Machines and Mechanisms, (Sevilla, Spain), 439-442.


Papers to be Published in Conference Proceedings

  1. Deb, K. and Gupta, H. (in press). A constraint handling strategy for robust multi-critertion optimization. To appear in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005). Washington, D.C.

  2. Sinha A., Tiwari S., and Deb, K. (in press). A Population-Based, Steady-State Procedure for Real-Parameter Optimization. To appear in IEEE Congress on Evolutionary Computation (CEC-2005). Edinburgh, U. K.