Improved Hybrid Firefly Algorithm with Probability Attraction Model

An improved hybrid firefly algorithm with probability attraction model (IHFAPA) is proposed to solve the problems of low computational efficiency and accuracy in solving complex optimization problems. First, method square-root sequence was used generate initial population, so that population had better diversity. Second, an adaptive probabilistic attract fireflies according brightness level fireflies, which can minimize comparison times moderate algorithm. Thirdly, a new location update proposed, not only overcomes deficiency relative two close 0 when distance long but also infinity small. In addition, combinatorial variational operator based on selection improve exploration exploitation ability (FA). Later, similarity removal operation added maintain diversity population. Finally, experiments using CEC 2017 constrained four practical engineering show IHFAPA effectively quality solutions.