Special lssues
Table of Content

Optimization Algorithm in Real-World Applications

Submission Deadline: 01 July 2022 (closed)

Guest Editors

Dr. Marwa M. Eid, Delta University for Science and Technology, Egypt.
Dr. Shady Y. El-Mashad, Benha University, Egypt.
Dr. Abdelhameed Ibrahim, Mansoura University, Egypt.
Dr. El-Sayed M. El-kenawy, Delta University for Science and Technology, Egypt.


Optimization, also known as Mathematical Programming, Operations Research, or simply Optimization, is a discipline that solves a great variety of applied problems in diverse areas: medicine, manufacturing, transportation, supply chain, finance, government, physics, economics, artificial intelligence, etc

This special issue covers a wide variety of topics concerning optimization problems and their applications. We welcome the new research ideas and developments in mathematics and computing relevant to real-world applications and theories from an optimization algorithms perspective, including foundation, systems, innovative application, and other research contributions.


Swarm Intelligence
Evolutionary Algorithms
Artificial Intelligence Applications
Deep Learning
Computer-based Algorithms
Time Series and Forecasting

Published Papers

  • Open Access


    An Air Defense Weapon Target Assignment Method Based on Multi-Objective Artificial Bee Colony Algorithm

    Huaixi Xing, Qinghua Xing
    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2685-2705, 2023, DOI:10.32604/cmc.2023.036223
    (This article belongs to the Special Issue: Optimization Algorithm in Real-World Applications)
    Abstract With the advancement of combat equipment technology and combat concepts, new requirements have been put forward for air defense operations during a group target attack. To achieve high-efficiency and low-loss defensive operations, a reasonable air defense weapon assignment strategy is a key step. In this paper, a multi-objective and multi-constraints weapon target assignment (WTA) model is established that aims to minimize the defensive resource loss, minimize total weapon consumption, and minimize the target residual effectiveness. An optimization framework of air defense weapon mission scheduling based on the multi-objective artificial bee colony (MOABC) algorithm is proposed. The solution for point-to-point saturated… More >

  • Open Access


    An Improved Honey Badger Algorithm through Fusing Multi-Strategies

    Zhiwei Ye, Tao Zhao, Chun Liu, Daode Zhang, Wanfang Bai
    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1479-1495, 2023, DOI:10.32604/cmc.2023.038787
    (This article belongs to the Special Issue: Optimization Algorithm in Real-World Applications)
    Abstract The Honey Badger Algorithm (HBA) is a novel meta-heuristic algorithm proposed recently inspired by the foraging behavior of honey badgers. The dynamic search behavior of honey badgers with sniffing and wandering is divided into exploration and exploitation in HBA, which has been applied in photovoltaic systems and optimization problems effectively. However, HBA tends to suffer from the local optimum and low convergence. To alleviate these challenges, an improved HBA (IHBA) through fusing multi-strategies is presented in the paper. It introduces Tent chaotic mapping and composite mutation factors to HBA, meanwhile, the random control parameter is improved, moreover, a diversified updating… More >

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