The multi-target assignment (MTA) problem, a crucial challenge in command control,
mission planning, and a fundamental research focus in military operations, has garnered …

This paper provides an overview of the weapon target assignment problem, which aims to
optimize the assignment of weapons to targets in order to maximize weapon damage to …

This paper introduces a collaborative allocation model designed for multiple UAVs and
diverse targets in maritime combat situations. The model incorporates factors such as …

Multi-agent reinforcement learning is a varied and highly active field of research. The idea of
parameter sharing or experience sharing has recently been introduced into multi-agent …

In multi-agent systems, the Dynamic Distributed Constraint Optimisation Problem (D-DCOP)
framework is pivotal, allowing for the decomposition of global objectives into agent …

Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely
used in multi-agent collaborative modeling. The traditional DCOP framework assumes that …

为更有效地解决Pareto 解集(Pareto set, PS) 旋转的动态多目标优化问题, 提出PS
旋转的分类多策略预测方法(rotation-based forecasting method, RFM). 将PS …

Purpose Firepower conflicts usually decay the firepower plan's enforceability, thus incurring
high survival risks. Previous studies have shown little attention to avoiding firepower …

This paper proposes a time-efficient model for solving the Weapon-target assignment (WTA)
problem with actor-critic reinforcement learning. While typical heuristic algorithms and …

Multiple-missile attack is one of the simplest ways to saturate and overcome a missile
defense system. To increase intercept efficiency against such groups of attackers, it is …