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Theoretical Paper

An evolutionary approach for the target allocation problem

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Pages 958-969 | Received 01 Aug 2002, Accepted 01 Feb 2003, Published online: 21 Dec 2017

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N E Ozdemirel & L Kandiller. (2006) Semi-dynamic modelling of heterogeneous land combat. Journal of the Operational Research Society 57:1, pages 38-51.
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Articles from other publishers (7)

Choi, Yun, Kim, Jin & Kim. (2019) Robust Optimization Approach Using Scenario Concepts for Artillery Firing Scheduling Under Uncertainty. Applied Sciences 9:14, pages 2811.
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Yong Baek Choi, Suk Ho Jin, Kyung Sup Kim & Byung Do Chung. (2018) A robust optimization approach for an artillery fire-scheduling problem under uncertain threat. Computers & Industrial Engineering 125, pages 23-32.
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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 16:06, pages 1465-1496.
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Yong Choi, Suk Jin & Kyung Kim. (2017) Deterministic and Robust Optimization Approach for Single Artillery Unit Fire Scheduling Problem. Applied Sciences 7:10, pages 1038.
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Zbigniew R. Bogdanowicz, Antony Tolano, Ketula Patel & Norman P. Coleman. (2013) Optimization of Weapon–Target Pairings Based on Kill Probabilities. IEEE Transactions on Cybernetics 43:6, pages 1835-1844.
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James J. Cochran, Louis A. CoxJr.Jr., Pinar Keskinocak, Jeffrey P. Kharoufeh & J. Cole SmithRaymond R. Hill & Edward A. Pohl. 2011. Wiley Encyclopedia of Operations Research and Management Science. Wiley Encyclopedia of Operations Research and Management Science.
Young-Ho Cha & Yeong-Dae Kim. (2010) Fire scheduling for planned artillery attack operations under time-dependent destruction probabilities. Omega 38:5, pages 383-392.
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