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Particle Swarm Optimizer is a swarm intelligent algorithm which simulates the behaviour of bird's flocking and fish schooling. This paper presents an improved opposition based Particle Swarm Optimizer. In the proposed method, generalized opposition based learning is incorporated first in population initialization and particle's personal best position. Second, a controlled mechanism of exploration...
Unmanned Aerial Vehicles (UAV) path planning can be considered as a complicated function optimization problem with constraint condition. Population based algorithm, especially the artificial bee colony (ABC) algorithm, is known as an effective tool to solve this problem. ABC algorithm is a relatively predominant optimization technique with an advantage of having fewer control parameters over other...
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