Special lssues

Optimization Problems Based on Mathematical Algorithms and Soft Computing

Submission Deadline: 30 December 2022 (closed)

Guest Editors

Dr. Wen-Tsao Pan, Guangdong University of Foreign Studies, China.
Dr. Chi-Keung Lau, Hang Seng University of Hong Kong.
Dr. Wei-Lin Xiao, Zhejiang University, Hangzhou, China.
Dr. Yi-Wen Zhang, Anhui University, Anhui, China.
Dr. Keping Yu, Hosei University, Japan.
Dr. Marco Chi Keung Lau, Teesside University, UK.


Optimization can be defined as the action of making the best or most effective use of a situation or resource. At the mathematical level, model optimization refers to the process of seeking the decision between several plans to maximize or minimize the value of target under certain conditions. This concept is widely used in scientific research and social issue, such as engineering technology, economic management, transportation, resource allocation and many other fields. Nowadays, the common way to solve optimal problems is to establish mathematical models based on algorithms and complex calculations, which can adequately achieve the purpose of optimization goals. Among them, Gradient Descent or swarm intelligence algorithms are one of the most frequently applied algorithms, while complex computations includes multi-criteria decision-making, fuzzy computation and attribute reduction of rough sets.


This special issue aims to find new research of advanced optimization algorithms and complex computation to improve the performance of solving model optimization problems in different fields, such as transportation scheduling, site selection strategy, construction planning, network parameter optimization and other model optimization problems. This special issue attempts to look for innovative research on complex computation and optimization algorithms to study model optimization problems and examine the performance of optimizations, which can greatly enrich the current literature Original research and review articles are both welcome.


The specific call for paper includes but not limits to the following scopes:
1. Optimization of transportation route
2. Optimization of vehicle scheduling
3. Optimization of construction period planning
4. Maximization of supply and demand profits
5. Optimization of location strategy in various fields
6. Optimization of industrial production scheduling
7. Multi-objective optimization in various fields
8. Optimization of various prediction and decision models
9. Parameter optimization of neural network like model
10. Model optimization in other fields

Published Papers

  • Open Access


    Optimal Scheduling of Multiple Rail Cranes in Rail Stations with Interference Crane Areas

    Nguyen Vu Anh Duy, Nguyen Le Thai, Nguyen Huu Tho
    Intelligent Automation & Soft Computing, Vol.39, No.1, pp. 15-31, 2024, DOI:10.32604/iasc.2024.038272
    (This article belongs to the Special Issue: Optimization Problems Based on Mathematical Algorithms and Soft Computing)
    Abstract In this paper, we consider a multi-crane scheduling problem in rail stations because their operations directly influence the throughput of the rail stations. In particular, the job is not only assigned to cranes but also the job sequencing is implemented for each crane to minimize the makespan of cranes. A dual cycle of cranes is used to minimize the number of working cycles of cranes. The rail crane scheduling problems in this study are based on the movement of containers. We consider not only the gantry moves, but also the trolley moves as well as the re-handle cases are also… More >

  • Open Access


    Satellite-Air-Terrestrial Cloud Edge Collaborative Networks: Architecture, Multi-Node Task Processing and Computation

    Sai Liu, Zhenjiang Zhang, Guangjie Han, Bo Shen
    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2651-2668, 2023, DOI:10.32604/iasc.2023.038477
    (This article belongs to the Special Issue: Optimization Problems Based on Mathematical Algorithms and Soft Computing)
    Abstract Integrated satellite-terrestrial network (ISTN) has been considered a novel network architecture to achieve global three-dimensional coverage and ultra-wide area broadband access anytime and anywhere. Being a promising paradigm, cloud computing and mobile edge computing (MEC) have been identified as key technology enablers for ISTN to further improve quality of service and business continuity. However, most of the existing ISTN studies based on cloud computing and MEC regard satellite networks as relay networks, ignoring the feasibility of directly deploying cloud computing nodes and edge computing nodes on satellites. In addition, most computing tasks are transferred to cloud servers or offloaded to… More >

  • Open Access


    An Optimized Implementation of a Novel Nonlinear Filter for Color Image Restoration

    Turki M. Alanazi
    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1553-1568, 2023, DOI:10.32604/iasc.2023.039686
    (This article belongs to the Special Issue: Optimization Problems Based on Mathematical Algorithms and Soft Computing)
    Abstract Image processing is becoming more popular because images are being used increasingly in medical diagnosis, biometric monitoring, and character recognition. But these images are frequently contaminated with noise, which can corrupt subsequent image processing stages. Therefore, in this paper, we propose a novel nonlinear filter for removing “salt and pepper” impulsive noise from a complex color image. The new filter is called the Modified Vector Directional Filter (MVDF). The suggested method is based on the traditional Vector Directional Filter (VDF). However, before the candidate pixel is processed by the VDF, the MVDF employs a threshold and the neighboring pixels of… More >

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