Journal of Intelligent & Fuzzy Systems - Volume 47, issue 5-6

Authors: Zhao, Yanchen | Hu, Fangru | Gao, Yilong | Zhao, Bin | Zhang, Min

Article Type: Research Article

Abstract: In response to the issue where previous complex product device network scheduling algorithms did not separately consider the migration time of the device, resulting in errors in the actual scheduling results, this paper proposes a reverse device network integrated scheduling algorithm based on the operation genealogy table within the framework of a genetic algorithm. Firstly, the processing operation tree of the product is mapped into an operation genealogy table, and an encoding method based on multi-child probability selection is proposed. Then, crossover methods based on descendant nodes, parent nodes, and positions are respectively introduced to ensure the legality of the …generated offspring individuals. Additionally, two mutation methods, namely the single point mutation method based on movable range and the recoding mutation method based on a single node, are proposed to enhance population diversity. Lastly, a pre-decoding method driven by migration time and a forward-to-reverse scheduling scheme conversion strategy based on completion time reversal is resented. This paper conducts two sets of comparative experiments based on rules and based on metaheuristics, comparative experimental results demonstrate that the proposed algorithm outperforms other comparative algorithms in terms of solution quality. Show more

Keywords: Operation genealogy table, integrated scheduling algorithm, tree-structured products, device network

DOI: 10.3233/JIFS-241796

Citation: Journal of Intelligent & Fuzzy Systems, vol. 47, no. 5-6, pp. 499-515, 2024

Authors: Wang, Xianlong | Chen, Jiadui | He, Ling | Liu, Dan | Yang, Kai | Fu, Youfa

Article Type: Research Article

Abstract: The Zebra Optimization Algorithm (ZOA) mimics the social behavior of zebras and is susceptible to the interference of local optimal solutions, leading to poor optimization and premature convergence. In this paper, we propose an improved zebra optimization algorithm (IZOA) that integrates several advanced strategies to overcome these problems. First, IZOA introduces a Lévy flight strategy in the foraging phase of the zebra population to expand the search range and improve the quality of individuals. At the same time, the “PZ” mechanism updates the other individuals based on the value of the leading zebra in each generation, which accelerates the optimization …process and improves the searching ability. In addition, IZOA integrates a nonlinear convergence factor based on the COS function, which improves the convergence speed and balances the exploration and development phases. A Cauchy variation strategy is used to enhance the global search capability and help the population escape from local extremes. In CEC2017 and CEC2022 benchmarking and rolling bearing design applications, IZOA is compared with 12 mainstream and improved ZOA algorithms (CZOA and IIZOA), and shows better performance. Finally, IZOA is combined with LSTM network for wind power prediction to show its application advantages in real engineering design problems. Show more

Keywords: Metaheuristic algorithm, zebra optimization, multi-strategy improvements, engineering applications, forecasts of wind power value

DOI: 10.3233/JIFS-242010

Citation: Journal of Intelligent & Fuzzy Systems, vol. 47, no. 5-6, pp. 517-542, 2024

Article Type: Retraction

DOI: 10.3233/JIFS-219433

Citation: Journal of Intelligent & Fuzzy Systems, vol. 47, no. 5-6, pp. 543-578, 2024