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Optimal force mix in heterogeneous combat

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  • N. K. Jaiswal
  • Meena Kumari
  • B. S. Nagabhushana

Abstract

This article presents models for determining the optimum number of Red weapons required to win a heterogeneous combat in which m(m> 1) types of Red weapons face a single type of Blue weapon under a newly defined termination policy. Red aims at either minimizing the total cost or maximizing the aggregated remaining force strength. Kuhn‐Tucker and simulated annealing techniques are used for obtaining the optimal solution. The methodology is illustrated by analysing heterogeneous combat to determine (i) the feasibility of introducing new types of weapons and (ii) the number of weapons required to win if a specific type of weapon, say infantry, dominates. © 1995 John Wiley & Sons, Inc.

Suggested Citation

  • N. K. Jaiswal & Meena Kumari & B. S. Nagabhushana, 1995. "Optimal force mix in heterogeneous combat," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(6), pages 873-887, September.
    • Handle: RePEc:wly:navres:v:42:y:1995:i:6:p:873-887
    DOI: 10.1002/1520-6750(199509)42:63.0.CO;2-D
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    References listed on IDEAS

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    1. N. K. Jaiswal & B. S. Nagabhushana, 1995. "Termination decision rules in combat attrition models," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(3), pages 419-433, April.
    2. Glover, Fred & Greenberg, Harvey J., 1989. "New approaches for heuristic search: A bilateral linkage with artificial intelligence," European Journal of Operational Research, Elsevier, vol. 39(2), pages 119-130, March.
    3. James G. Taylor & Gerald G. Brown, 1983. "Annihilation Prediction for Lanchester-Type Models of Modern Warfare," Operations Research, INFORMS, vol. 31(4), pages 752-771, August.
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