Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
Abstract: With the widespread application of UAV technology in military reconnaissance, logistics and distribution, agricultural plant protection and other fields, its autonomous path planning ...
Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
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