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Robust Hybrid Artificial fish swarm Simulated Annealing Optimization algorithm for Secured Free Scale Networks against Malicious Attacks

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Computers, Materials & Continua 2021年第1期66卷 903-917页

作者： Ganeshan Keerthana Panneerselvam Anandan Nandhagopal Nachimuthu Anna University Chennai600025India Department of ECE C.Abdul Hakeem College of Engineering and TechnologyVelloreIndia Department of ECE Excel Engineering CollegeSalemIndia

Due to the recent proliferation of cyber-attacks,highly robust wireless sensor networks(WSN)become a critical issue as they survive node ***-free WSN is essential because they endure random attacks *** they are susceptible to malicious attacks,which mainly targets particular significant ***,the robustness of the network becomes important for ensuring the network *** paper presents a Robust Hybrid Artificial fish swarm Simulated Annealing Optimization(RHAFS-SA)*** is introduced for improving the robust nature of free scale networks over malicious attacks(MA)with no change in degree *** proposed RHAFS-SA is an enhanced version of the Improved Artificial fish swarm algorithm(IAFSA)by the simulated annealing(SA)*** proposed RHAFS-SA algorithm eliminates the IAFSA from unforeseen vibration and speeds up the convergence *** experimentation,free scale networks are produced by the Barabási–Albert(BA)model,and real-world networks are employed for testing the outcome on both synthetic-free scale and real-world *** experimental results exhibited that the RHAFS-SA model is superior to other models interms of diverse aspects.

关键词： Free scale networks robustness malicious attacks fish swarm algorithm

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Research on Flight First Service Model and algorithms for the Gate Assignment Problem

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Computers, Materials & Continua 2019年第9期61卷 1091-1104页

作者： Jiarui Zhang Gang Wang Siyuan Tong Graduate School Air Force Engineering UniversityXi’an710051China Air and Missile Defense College Air Force Engineering UniversityXi’an710051China

Aiming at the problem of gate allocation of transit flights,a flight first service model is *** the constraints of maximizing the utilization rate of gates and minimizing the transit time,the idea of“first flight serving first”is used to allocate the first time,and then the hybrid algorithm of artificial fish swarm and simulated annealing is used to find the optimal *** means the fish swarm algorithm with the swallowing behavior is employed to find the optimal solution quickly,and the simulated annealing algorithm is used to obtain a global optimal allocation scheme for the optimal local *** experimental data show that the maximum utilization of the gate is 27.81%higher than that of the“first come first serve”method when the apron is not limited,and the hybrid algorithm has fewer iterations than the simulated annealing algorithm alone,with the overall passenger transfer tension reducing by 1.615;the hybrid algorithm has faster convergence and better performance than the artificial fish swarm algorithm *** experimental results indicate that the hybrid algorithm of fish swarm and simulated annealing can achieve higher utilization rate of gates and lower passenger transfer tension under the idea of“first flight serving first”.

关键词： Gate assignment flight first service model fish swarm algorithm passenger transfer tension

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