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An evolutionary approach for the target allocation problem

Author

Listed:
  • E Erdem

    (Atilim University)

  • N E Ozdemirel

    (Middle East Technical University)

Abstract

We propose an evolutionary approach for target allocation in tactical level land combat. The purpose is to assign friendly military units to enemy units such that the total weapon effectiveness used is minimised while the attrition goals set for the enemy units are satisfied. A repair algorithm is developed to ensure feasibility with respect to the attrition goal constraints. A tightness measure is devised to determine the population size of the genetic algorithm as a function of constraint tightness. Also, a local improvement algorithm is used to further improve the solution quality. Experimental results indicate that the genetic algorithm can find solutions with acceptable quality in reasonable computation time. Although the approach is developed for the target allocation problem, it can be adapted for other assignment problems.

Suggested Citation

  • E Erdem & N E Ozdemirel, 2003. "An evolutionary approach for the target allocation problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(9), pages 958-969, September.
    • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:9:d:10.1057_palgrave.jors.2601580
    DOI: 10.1057/palgrave.jors.2601580
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    References listed on IDEAS

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    1. Herrera, Francisco & Lopez, Enrique & Mendana, Cristina & Rodriguez, Miguel A., 1999. "Solving an assignment-selection problem with verbal information and using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 119(2), pages 326-337, December.
    2. Gong, Dijin & Yamazaki, Genji & Gen, Mitsuo & Xu, Weixuan, 1999. "A genetic algorithm method for one-dimensional machine location problems," International Journal of Production Economics, Elsevier, vol. 60(1), pages 337-342, April.
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    Cited by:

    1. Anissa Frini & Adel Guitouni & Abderrezak Benaskeur, 2017. "Solving Dynamic Multi-Criteria Resource-Target Allocation Problem Under Uncertainty: A Comparison of Decomposition and Myopic Approaches," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1465-1496, November.
    2. Cha, Young-Ho & Kim, Yeong-Dae, 2010. "Fire scheduling for planned artillery attack operations under time-dependent destruction probabilities," Omega, Elsevier, vol. 38(5), pages 383-392, October.
    3. N E Ozdemirel & L Kandiller, 2006. "Semi-dynamic modelling of heterogeneous land combat," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(1), pages 38-51, January.

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