Papers published in Journals (Incomplete List)

Following is the list of papers published in journals by Prof. Kalyanmoy Deb and KanGAL members. Sorry, this list has not been updated for quite some time. Please send an email to deb@iitk.ac.in for an updated list.

  1. Deb, K., Gupta, S., Daum, D., Branke, J., Mall, A., and Padmanabhan, D. (2009). Reliability-Based Optimization Using Evolutionary Algorithms. IEEE Transacations on Evolutionary Computation.

  2. Mittal, S. and Deb, K. (2009). Optimal strategies of the iterated prisoner’s dilemma problem for multiple conflicting objectives. IEEE Transactions on Evolutionary Computation, 13(3), 554–565.

  3. Pettersson, F., Saxen, H. and Deb, K. (2009). Genetic algorthm based multicriteria optimization of ironmaking in the blast furnace. Journal of Materials and Manufacturing Processes, 24, 1–7.

  4. Deb, K. (2008). Scope of stationary multi-objective evolutionary optimization: A case study on a hydro-thermal power dispatch problem. Journal of Global Optimization, 41(4), 479–515.

  5. Dyer, J. S., Fishburn, P. C., Steuer, R. E., Wallenius, J., Zionts, S. and Deb, K. (2008). Multiple criteria decision making, multiattribute utility theory: Recent accomplishments and what lies ahead. Management Science, 54(7), 1336–1349.

  6. Bandyopadhyay, S., Saha, S., Maulik, U. and Deb, K. (2008). A simulated annealing-based multiobjective optimization algorithm: AMOSA, IEEE Transactions on Evolutionary Computation, 12(3), 269–283.

  7. Branke, J., Scheckenbach, B. Stein, M., Deb, K. and Schmeck, H. (2008). Portfolio optimization with an envelope based evolutionary multi-objective optimization. European Journal on Operations Research (EJOR), 199(3), 684–693.

  8. Bui, L. T., Deb, K., Abbass, H. A. and Essam, D. (2008). Interleaving guidance in evolutionary multiobjective optimization. Journal of Computer Science and Technology, 23(1), 44–63.

  9. Deb, K. and Tiwari, S. (2008). Omni-optimizer: A generic evolutionary algorithm for global optimization. European Journal of Operational Research (EJOR), 185(3), 1062–1087.

  10. Datta, D., Fonseca, C. M. and Deb, K. (2008). A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems. Journal of Scheduling, 11(6), 405–419.

  11. Deb, K. (2007). Current Trends in Evolutionary Multi-objective Optimization. International Journal for Simulation and Multidisciplinary Optimisation, 1(1), 1–8.

  12. Datta, D. and Deb, K., Fonseca, C. M., Lobo, F. G., Condado, P. A. and Seixas, J. (2007). Multi-objective evolutionary algorithm for land-use management problem, International Journal of Computational Intelligence Research (IJCIR), 3(4).

  13. Shukla, P. and Deb, K. (2007). On Finding Multiple Pareto-Optimal Solutions Using Classical and Evolutionary Generating Methods. European Journal of Operational Research (EJOR), 181(3), 1630–1652.

  14. Sengupta, T. K., Deb, K., Talla, S. B. (2007). Control of flow using genetic algorithm for a circular cylinder executing rotary oscillation. Computers & Fluids, 36(3), 578–600.

  15. Jain, N. K., Jain, V. K. and Deb, K. (2007). Optimization of process parameters of mechanical type advanced machining processes using genetic algorithms International Journal of Machine Tools and Manufacture, 47(6), 900–919.

  16. Deb, K. and Gupta, H. (2006). Introducing robustness in multi-objective optimization. Evolutionary Computation Journal, 14(4), 463–494.

  17. Deb, K., Sundar, J., Reddy, Uday, B., and Chaudhuri, S. (2006). Reference point based multi-objective optimization using evolutionary algorithms. International Journal of Computational Intelligence Research (IJCIR), 2(6), 273–286.

  18. Deb, K., Mohan, M., and Mishra, S. (2005). Evaluating the
  19. -domination based multiobjective evolutionary algorithm for a quick computation of Pareto-optimal solutions. Evolutionary Computation Journal, 13(4), 501–525.

  20. Deb, K. (2005). A population-based algorithm-generator for real-parameter optimization. Soft Computing Journal, 9, 236–253.

  21. Deb, K. and Tiwari, S. (2005). Multi-objective optimization of a leg mechanism using genetic algorithms. Engineering Optimization, 37(4), 325-350.

  22. Deb, K., Jain, P., Gupta, N., and Maji, H. (2004). Multi-Objective placement of electronic components using evolutionary algorithms. IEEE Transactions on Components and Packaging Technologies, 27(3), 480-492.

  23. Deb, K. (2004). An ideal evolutionary multi-objective optimization procedure. IPSJ Transactions on Mathematical Modeling and Its Applications, 45(SIG 2), 1-11.

  24. Deb, K., Mitra, K., Dewri, R. and Majumdar, S. (2004). Towards a better understanding of the epoxy polymerization process using multi-objective evolutionary computation. Chemical Engineering Science, 59(20), 4261-4277.

  25. Farina, M., Deb, K., Amato. P. (2004). Dynamic multiobjective optimization problems: Test cases, approximations, and applications. IEEE Transactions on Evolutionary Computation, 8(5), 425-442.

  26. Deb, K. (2003). Unveiling innovative design principles by means of multiple conflicting objectives. Engineering Optimization, 35(5), 445-470.

  27. Deb, K. and Reddy, A. R. (2003). Reliable classification of two-class cancer data using evolutionary algorithms. BioSystems, 72(1-2), 111-129.

  28. Deb, K. and Jain, S. (2003). Multi-speed gearbox design using multi-objective evolutionary algorithms. ASME Transactions on Mechanical Design, 125(3). 609-619.

  29. Deb, K., Reddy, A. R. and Singh, G. (2003). Optimal scheduling of casting sequence using genetic algorithms. Journal of Materials and Manufacturing Processes, 18(3). 409-432.

  30. Deb, K., Anand, A., and Joshi, D. (2002). A computationally efficient evolutionary algorithm for real-parameter optimization. Evolutionary Computation Journal, 10(4), 371-395.

  31. Deb, K., Pratap. A, Agarwal, S., and Meyarivan, T. (2002). A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transaction on Evolutionary Computation, 6(2), 181-197.

  32. Pratihar, D. K., Deb, K., Ghosh, A. (2002). Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach. Robotics and Autonomous Systems, 41, 1-21.

  33. Mukherjee, A., Biswas, R., Deb, K., and Mathur, A. P. (2002). Multi-objective evolutionary algorithms for the risk-return trade-off in bank loan management. International Transactions in Operations Research, 9, 583-597.

  34. Laumanns, M., Thiele, L., Deb, K. and Zitzler, E. (2002). Combining convergence and diversity in evolutionary multiobjective optimization. Evolutionary Computation Journal, 10(3), 263-282.

  35. Deb, K. (2001). Nonlinear goal programming using multi-objective genetic algorithms. Journal of the Operational Research Society, 52(3), 291-302.

  36. Deb, K. and Gulati, S. (2001). Design of truss-structures for minimum weight using genetic algorithms. Journal of Finite Elements in Analysis and Design, 37(5), 447-465.

  37. Deb, K. and Beyer, H.-G. (2001). Self-adaptive genetic algorithms with simulated binary crossover. Evolutionary Computation Journal, 9(2), 197-221.

  38. Beyer, H.-G. and Deb, K. (2001). On self-adaptive features in real-parameter evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 5(3). 250-270.

  39. Chakroborty, P., Deb, K., and Sharma, R. K. (2001). Optimal fleet size distribution and scheduling of transit systems using genetic algorithms. Transportation Planning and Technology, 24(3), 209-226.

  40. Deb, K. (2000). An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering, 186, 311-338.

  41. Deb, K. and Horn. J.(2000). Introduction to the special issue: Multicriterion optimization. Evolutionary Computation Journal, 8(2), iii-iv.

  42. Pratihar D. K., Deb K., Ghosh A. (2000). Optimal turning gait of a six-legged robot using GA-Fuzzy approach, Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDM) Journal, (14), 207-219.

  43. Chakraborti, N., Deb, K., and Jha, A. (2000). A genetic algorithm based heat transfer analysis of a bloom re-heating furnace. Steel Research, 71, 396-402.

  44. Michalewicz, Z., Deb, K., Schmidt, M., and Stidsen, T. (2000). Test-case generator for nonlinear continuous parameter optimization techniques. IEEE Trans. on Evolutionary Computation, 4(3), 197-215.

  45. Zitzler, E., Deb, K., and Thiele, L. (2000). Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation Journal, 8(2), 173-195.

  46. Sivakumar, K., Iyengar, N. G. R., and Deb, K. (2000). Optimum design of laminated composite plates with cut-outs using genetic algorithm (GA), variable metric method (DFP) and complex search methods. Engineering Optimization, 32, 635-657.

  47. Deb, K. (1999). An introduction to genetic algorithms. S $\bar{\mbox{a}}$dhan $\bar{\mbox{a}}$, 24(4), 293-315.

  48. Deb, K. (1999). Multi-objective genetic algorithms: Problem difficulties and construction of test problems. Evolutionary Computation Journal, 7(3), 205-230.

  49. Deb, K. and Agrawal, S. (1999). Understanding interactions among genetic algorithm parameters. Foundations of Genetic Algorithms V, 265-286.

  50. Pratihar, D., Deb, K., and Ghosh, A. (1999). Fuzzy-genetic algorithms and time-optimal obstacle-free path generation for mobile robots. Engineering Optimization, 32, 117-142.

  51. Pratihar D., Deb, K., and Ghosh A. (1999). Design of a genetic-fuzzy system for planning crab gaits of a six-legged robot, Journal of Computing and Information Technology, 7(1), 93-101.

  52. Pratihar, D., Deb, K., and Ghosh, A. (1999). A genetic-fuzzy approach for mobile robot navigation among moving obstacles. International Journal of Approximate Reasoning, 20, 145-172.

  53. Sivakumar, K., Iyengar, N. G. R., and Deb, K. (1999). Free vibration of laminated composite plates with cutout. Journal of Sound and Vibration, 221(3), 443-470.

  54. Sivakumar, K., Iyengar, N. G. R., and Deb, K. (1999). Optimum design of laminated composite plates with cutouts undergoing large amplitude oscillation, Advanced Composite Materials, 8(4), 295-316.

  55. Sivakumar, K., Iyengar, N. G. R., and Deb, K. (1999). Optimum design of laminated composite plates undergoing large amplitude oscillations, Applied Composite Materials, 6, 87-98.

  56. Deb, K. (1998). A quick computation of factor of safety for biaxial stress states. Transactions of ASME: Journal of Mechanical Design, 120, 721-726.

  57. Deb, K. and Chakroborty, P. (1998). Time scheduling of transit systems with transfer considerations using genetic algorithms. Evolutionary Computation Journal, 6(1). 1-24.

  58. Deb, K. and Goyal, M. (1998). A flexible optimization procedure for mechanical component design based on genetic adaptive search. Transactions of the ASME: Journal of Mechanical Design, 120(2), 162-164.

  59. Mitra, K., Deb, K., and Gupta, S. K. (1998). Multiobjective dynamic optimization of an industrial Nylon 6 semibatch reactor using genetic algorithms. Journal of Applied Polymer Science, 69(1), 69-87.

  60. Sen, S., Narshimhan, S. and Deb, K. (1998). Sensor network design of linear processes using genetic algorithms. Computers & Chemical Engineering, 22(3), 385-390.

  61. Chakroborty, P., Deb, K., and Srinivas, B. (1998). Network-wide optimal scheduling of transit systems using genetic algorithms. Computer Aided Civil and Infrastructure Engineering, 13, 363-376.

  62. Deo, B., Deb, K., Jha, S., Sudhakar, V., and Sridhar, N. V. (1998). Optimal operating conditions for the primary end of an integrated steel plant: Genetic adaptive search and classical techniques. ISIJ International, 38 (1), 98-105.

  63. Sivakumar, K., Iyengar, N. G. R., and Deb, K. (1998). Optimum design of laminated composite plates with cutouts using a genetic algorithm, Journal of Composite Structures, 42(3), 265-279.

  64. Upreti, S. and Deb, K. (1997). Optimal design of an ammonia synthesis reactor using genetic algorithms. Computers & Chemical Engineering, 21(1), 87-92.

  65. Sivakumar, K., Iyenger, N. G. R., and Deb, K. (1997). Optimum design of laminated composite rectangular plates with cutouts using genetic algorithms. Indian Journal of Engineering and Materials Science, 4, 189-195.

  66. Chakraborty, U., Deb, K., and Chakraborty, M. (1997). Analysis of selection algorithms: A Markov chain approach. Evolutionary Computation Journal, 4 (2). 132-167.

  67. Deb, K., and Goyal. M. (1996). A combined genetic adaptive search (GeneAS) for engineering design. Computer Science and Informatics, 26(4), 30-45.

  68. Bagchi, T. and Deb, K. (1996). Calibration of GA Parameters: The design of experiments approach. Computer Science and Informatics, 26(4), 46-56.

  69. Mahesh, K., Kishore, N. N., and Deb, K. (1996). Optimal design of composite turbine blade using genetic algorithms. Adv. Composite Materials, 5(2), 87-98.

  70. Deb, K. and Kumar, A. (1995). Real-coded genetic algorithms with simulated binary crossover: Studies on multimodal and multiobjective problems. Complex Systems, 9(6), 431-454.

  71. Deb, K. and Agrawal, R. B. (1995) Simulated binary crossover for continuous search space. Complex Systems, 9 115-148.

  72. Chakroborty, P., Deb, K., and Subrahmanyam, P. S. (1995). Optimal scheduling of urban transit scheduling systems using genetic algorithms. ASCE Journal of Transportation Engineering, 121(6), 544-553.

  73. Srinivas, N. and Deb, K. (1995). Multiobjective function optimization using nondominated sorting genetic algorithms, Evolutionary Computation Journal, 2(3), 221-248.

  74. Rastogi, R., Deb, K., Deo, B., and Boom, R. (1994). Genetic Adaptive Search (GAS) Model of Hot Metal Desulphurization, Steel Research, 65, 472-478.

  75. Deo, B., Datta, A., Kukreja, B., Rastogi, R., and Deb, K. (1994). Optimization of back propagation algorithm and GAS-assisted ANN models for hot metal desulphurization. Steel Research, 65, 528-533.

  76. Deb, K. and Goldberg, D. E. (1994). Sufficient conditions for deception in arbitrary binary functions. Annals of Mathematics and Artificial Intelligence, 10, 385-408.

  77. Horn, J., Goldberg, D. E., and Deb, K. (1994). Implicit niching in a learning classifier system: Nature's way. Evolutionary Computation Journal, 2(1), 37-66.

  78. Deb, K., Horn, J., and Goldberg, D. E. (1993). Multimodal deceptive functions. Complex Systems, 7, 131-153.

  79. Goldberg, D. E., Deb, K., and Theirens, D. (1993). Toward a better understanding of mixing in genetic algorithms. Journal of SICE, 32(1), 10-16.

  80. Deb, K. and Goldberg, D. E. (1992). Analyzing deception in trap functions. Foundations of Genetic Algorithms II, 93-108.

  81. Goldberg, D. E., Deb, K., and Clark, J. H. (1992). Accounting for the noise in the sizing of populations. Foundations of Genetic Algorithms II, 127-140.

  82. Goldberg, D. E., Deb, K., and Clark, J. H. (1992). Genetic algorithms, noise, and the sizing of populations. Complex Systems, 6, 333-362.

  83. Deb, K. (1991). Optimal design of a welded beam structure via genetic algorithms, AIAA Journal, 29(11), 2013-2015.

  84. Goldberg, D. E. and Deb, K. (1991). A comparison of selection schemes used in genetic algorithms, Foundations of Genetic Algorithms, I, 69-93.

  85. Goldberg, D. E., Deb, K. and Korb, B. (1990). Messy genetic algorithms revisited: Studies in mixed size and scale. Complex Systems, 4, 415-444.

  86. Goldberg, D. E., Korb, B., and Deb, K. (1989). Messy genetic algorithms: Motivation, analysis, and first results, Complex Systems, 3, 493-530.

  87. Wilson, H. and Deb, K. (1990). Evaluation of high order single step integrators for structural response calculations, Journal of Sound and Vibration, 141(1), 55-70.

  88. Wilson, H. and Deb, K. (1989). Inertial properties of tapered cylinders and partial volumes of revolution, Computer Aided Design, 21(7), 456-462.



Papers in Journals (ACCEPTED)

  1. Deb, K., Gupta, S., Daum, D., Branke, J., Mall, A., and Padmanabhan, D. (in press). Reliability-Based Optimization Using Evolutionary Algorithms. IEEE Transacations on Evolutionary Computation IEEE Press. DOI: 10.1109/TEVC.2009.2014361.

  2. Deb, K. and Sinha, A. (in press). An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm. Evolutionary Compuation Journal. MIT Press.

  3. Chaudhuri, S. and Deb, K. (in press). An Interactive Evolutionary Multi-Objective Optimization and Decision Making Procedure. Applied Soft Computing Journal, DOI: 10.1016/j.asoc.2009.08.019. Elsevier.