Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
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Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...
Abstract: Many machine learning algorithms excel at handling problems with conflicting objectives. Multi-Objective Optimization (MOO) algorithms play a crucial role in this process by enabling them to ...
This paper aims to optimize the “Parts to Picker” picking system with order sorting and AGV path planning as its priorities according to AGV-based “Parts to Picker” sorting mode and the order picking ...
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