摘要

本研究探討感測器-武器-目標分配問題(Sensor-Weapon-TargetAssignment Problem, SWTAP)，將感測器導引能力及射擊策略等納入，建構更貼合戰場實務的SWTAP模型，並結合多屬性決策與模糊推論，運用MATLAB模糊邏輯工具箱建構目標威脅評估模型，作為SWTAP模型的參數依據，並在簡群演算法中加入可行初始機制與區域搜索兩種機制，提出的演算法命名iSSO，透過大規模問題與SSO及GA演算法實施績效比較。

關鍵字：感測器-武器-目標分配問題、目標威脅評估、MATLAB模糊邏輯工具、敏感性分析、改良式簡群演算法。

ABSTRACT

This study discusses the problem of sensor-weapon-target allocation, including sensor guidance capabilities and shooting strategies, to construct a SWTAP model that is more suitable for battlefield practice, and combines multi-attribute decision-making and fuzzy inference, using MATLAB fuzzy logic tools The target threat assessment model is constructed in the box as the parameter basis of the SWTAP model, and two mechanisms of feasible initial mechanism and area search are added to the simple group algorithm. The proposed algorithm is named iSSO, and it is implemented through large-scale problems, SSO and GA algorithms Performance comparison.

KEYWORDS: Sensor-Weapon-Target Assignment Problem; Target Threat Assessment; MATLAB Fuzzy Logic Toolbox; Sensitivity Analysis; Improved Simplified Swarm Optimization.