A challenging methodology predicted in modern military strategies is the unprotected Weapon-Target Assignment (WTA) problem, where weapons under consideration must be assigned to targets in order to minimize the expected survivability attribute against the targets. In this case, this study is interested in the static WTA (SWTA) scenario, where the assignments are made on a one-time basis. Since the SWTA problem has been found to be of NP-complete nature, the more accurate solution techniques can be considered infeasible due to the escalating complexity. In this paper, it is proposed to extend the library of new methods by implementing the multi-start method and the technique called Late Acceptance Hill Climbing (LAHC). Performance comparisons between the Multi-Start Late Acceptance Hill Climbing (MLAHC) and LAHC algorithms, derived from different examples and problem sizes, prove that the MLAHC algorithm yields better quality solutions and higher reliability than the traditional LAHC algorithm for large problems. This strategy can be seen as a revolution in the process of analyzing military resource allocation towards the optimal level.
Combitonarial Optimization Late Acceptance Hill Climbing Weapon-Target Assignment Problem
Birincil Dil | İngilizce |
---|---|
Konular | Memnuniyet ve Optimizasyon |
Bölüm | Research Article |
Yazarlar | |
Erken Görünüm Tarihi | 17 Temmuz 2024 |
Yayımlanma Tarihi | |
Gönderilme Tarihi | 21 Mayıs 2024 |
Kabul Tarihi | 27 Mayıs 2024 |
Yayımlandığı Sayı | Yıl 2024 Cilt: 2 Sayı: 1 |