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According to the low efficiency of Particle Swarm Optimization algorithm applied in mobile robot path planning with complex constraints, a novel boundary constraints handling mechanism was put forward through analyzing the type of constraints. In addition, the path planning method based on Second-order Oscillating Particle Swarm Optimization (SOPSO) was(More)
The path planning method based on artificial fish school algorithm (AFSA) was proposed to solve unmanned combat aerial vehicle (UCAV) path planning problem under the 2-D radar threats environment. According to the path planning requirements, the threat detection and artificial fish coding method were designed in detail. Besides, the method of perceiving(More)
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