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Identification Of Redundant Objective Functions In Multi-Objective Stochastic Fractional Programming Problems

Author

Listed:
  • V. CHARLES

    (Department of Quantitative Methods and Operations Research, SDM Institute for Management Development, Mysore, Karnataka, India 570 011, India)

  • D. DUTTA

    (Department of Mathematics and Humanities, National Institute of Technology — Warangal, Andhra Pradesh, India 506 004, India)

Abstract

Redundancy in constraints and variables are usually studied in linear, integer and non-linear programming problems. However, main emphasis has so far been given only to linear programming problems. In this paper, an algorithm that identifies redundant objective functions in multi-objective stochastic fractional programming problems is provided. A solution procedure is also illustrated. This reduces the number of objective functions in cases where redundant objective functions exist.

Suggested Citation

  • V. Charles & D. Dutta, 2006. "Identification Of Redundant Objective Functions In Multi-Objective Stochastic Fractional Programming Problems," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 155-170.
    • Handle: RePEc:wsi:apjorx:v:23:y:2006:i:02:n:s0217595906000863
    DOI: 10.1142/S0217595906000863
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    Cited by:

    1. Ye Xu & Na Meng & Xu Wang & Junyuan Tan & Wei Li, 2022. "A Multiobjective Fractional Programming for a CHP System Operation Optimization Based on Energy Intensity," Energies, MDPI, vol. 15(6), pages 1-17, March.
    2. Charles, V. & Udhayakumar, A. & Rhymend Uthariaraj, V., 2010. "An approach to find redundant objective function(s) and redundant constraint(s) in multi-objective nonlinear stochastic fractional programming problems," European Journal of Operational Research, Elsevier, vol. 201(2), pages 390-398, March.

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