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Search Results (106)
  • Open Access

    ARTICLE

    Multi-Objective Adapted Binary Bat for Test Suite Reduction

    Nagwa Reda1, Abeer Hamdy2,*, Essam A. Rashed1,3

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 781-797, 2022, DOI:10.32604/iasc.2022.019669

    Abstract Regression testing is an essential quality test technique during the maintenance phase of the software. It is executed to ensure the validity of the software after any modification. As software evolves, the test suite expands and may become too large to be executed entirely within a limited testing budget and/or time. So, to reduce the cost of regression testing, it is mandatory to reduce the size of the test suite by discarding the redundant test cases and selecting the most representative ones that do not compromise the effectiveness of the test suite in terms of some predefined criteria such as… More >

  • Open Access

    ARTICLE

    Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem

    Chia-Nan Wang1, Ming-Cheng Tsou2,*, Chih-Hung Wang3, Viet Tinh Nguyen4, Pham Ngo Thi Phuong5

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1667-1681, 2022, DOI:10.32604/cmc.2022.019833

    Abstract Suppliers play the vital role of ensuring the continuous supply of goods to the market for businesses. If businesses do not maintain a strong bond with their suppliers, they may not be able to secure a steady supply of goods and products for their customers. As a result of failure to deliver products, the production and business activities of the business can be delayed which leads to the loss of customers. Normally, each trading enterprise will have a variety of commodity supply chains with multiple suppliers. Suppliers play an important role and contribute to the value of the entire supply… More >

  • Open Access

    ARTICLE

    A Multi-Objective Secure Optimal VM Placement in Energy-Efficient Server of Cloud Computing

    Sangeetha Ganesan*, Sumathi Ganesan

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 387-401, 2021, DOI:10.32604/iasc.2021.019024

    Abstract Cloud Computing has been economically famous for sharing the resources of third-party applications. There may be an increase in the exploitation of the prevailing Cloud resources and their vulnerabilities as a result of the aggressive growth of Cloud Computing. In the Cache Side Channel Attack (CSCA), the attackers can leak sensitive information of a Virtual Machine (VM) which is co-located in a physical machine due to inadequate logical isolation. The Cloud Service Provider (CSP) has to modify either at the hardware level to isolate their VM or at the software, level to isolate their applications. The hardware isolation requires changes… More >

  • Open Access

    ARTICLE

    Path Planning of Quadrotors in a Dynamic Environment Using a Multicriteria Multi-Verse Optimizer

    Raja Jarray1, Mujahed Al-Dhaifallah2,*, Hegazy Rezk3,4, Soufiene Bouallègue1,5

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2159-2180, 2021, DOI:10.32604/cmc.2021.018752

    Abstract Paths planning of Unmanned Aerial Vehicles (UAVs) in a dynamic environment is considered a challenging task in autonomous flight control design. In this work, an efficient method based on a Multi-Objective Multi-Verse Optimization (MOMVO) algorithm is proposed and successfully applied to solve the path planning problem of quadrotors with moving obstacles. Such a path planning task is formulated as a multicriteria optimization problem under operational constraints. The proposed MOMVO-based planning approach aims to lead the drone to traverse the shortest path from the starting point and the target without collision with moving obstacles. The vehicle moves to the next position… More >

  • Open Access

    ARTICLE

    An Optimized Framework for Surgical Team Selection

    Hemant Petwal*, Rinkle Rani

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2563-2582, 2021, DOI:10.32604/cmc.2021.017548

    Abstract In the healthcare system, a surgical team is a unit of experienced personnel who provide medical care to surgical patients during surgery. Selecting a surgical team is challenging for a multispecialty hospital as the performance of its members affects the efficiency and reliability of the hospital’s patient care. The effectiveness of a surgical team depends not only on its individual members but also on the coordination among them. In this paper, we addressed the challenges of surgical team selection faced by a multispecialty hospital and proposed a decision-making framework for selecting the optimal list of surgical teams for a given… More >

  • Open Access

    ARTICLE

    The Multi-Objective Optimization of AFPM Generators with Double-Sided Internal Stator Structures for Vertical Axis Wind Turbines

    Dandan Song1,*, Lianjun Zhou1, Ziqi Peng2, Senhua Luo2, Jun Zhu3

    Energy Engineering, Vol.118, No.5, pp. 1439-1452, 2021, DOI:10.32604/EE.2021.015011

    Abstract The axial flux permanent magnet (AFPM) generator with double-sided internal stator structure is highly suitable for vertical axis wind turbines due to its high power density. The performance of the AFPM generator with double-sided internal stator structure can be improved by the reasonable design of electromagnetic parameters. To further improve the overall performance of the AFPM generator with double-sided internal stator structure, multivariable (coil width ωc, permanent magnet thickness h, pole arc coefficient αp and working air gap lg) and multi-objective (generator efficiency η, total harmonic distortion of the voltage THD and induced electromotive force amplitude EMF) functional relationships are… More >

  • Open Access

    ARTICLE

    Optimal Allocation of Comprehensive Resources for Large-Scale Access of Electric Kiln to the Distribution Network

    Dan Wu1, Yanbo Che1, Wei Li2,*, Wei He3, Dongyi Li4

    Energy Engineering, Vol.118, No.5, pp. 1549-1564, 2021, DOI:10.32604/EE.2021.014818

    Abstract With the significant progress of the “coal to electricity” project, the electric kiln equipment began to be connected to the distribution network on a large scale, which caused power quality problems such as low voltage, high harmonic distortion rate, and high reactive power loss. This paper proposes a two-stage power grid comprehensive resource optimization configuration model. A multi-objective optimization solution based on the joint simulation platform of Matlab and OpenDSS is developed. The solution aims to control harmonics and optimize reactive power. In the first stage, a multi-objective optimization model is established to minimize the active network loss, voltage deviation,… More >

  • Open Access

    ARTICLE

    Reliability Based Multi-Objective Thermodynamic Cycle Optimisation of Turbofan Engines Using Luus-Jaakola Algorithm

    Vin Cent Tai1,*, Yong Chai Tan1, Nor Faiza Abd Rahman1, Yaw Yoong Sia2, Chan Chin Wang2, Lip Huat Saw3

    Energy Engineering, Vol.118, No.4, pp. 1057-1068, 2021, DOI:10.32604/EE.2021.014866

    Abstract Aircraft engine design is a complicated process, as it involves huge number of components. The design process begins with parametric cycle analysis. It is crucial to determine the optimum values of the cycle parameters that would give a robust design in the early phase of engine development, to shorten the design cycle for cost saving and man-hour reduction. To obtain a robust solution, optimisation program is often being executed more than once, especially in Reliability Based Design Optimisations (RBDO) with Monte-Carlo Simulation (MCS) scheme for complex systems which require thousands to millions of optimisation loops to be executed. This paper… More >

  • Open Access

    ARTICLE

    Study on Optimization of Urban Rail Train Operation Control Curve Based on Improved Multi-Objective Genetic Algorithm

    Xiaokan Wang*, Qiong Wang

    Journal on Internet of Things, Vol.3, No.1, pp. 1-9, 2021, DOI:10.32604/jiot.2021.010228

    Abstract A multi-objective improved genetic algorithm is constructed to solve the train operation simulation model of urban rail train and find the optimal operation curve. In the train control system, the conversion point of operating mode is the basic of gene encoding and the chromosome composed of multiple genes represents a control scheme, and the initial population can be formed by the way. The fitness function can be designed by the design requirements of the train control stop error, time error and energy consumption. the effectiveness of new individual can be ensured by checking the validity of the original individual when… More >

  • Open Access

    ARTICLE

    A Genetic Algorithm Optimization for Multi-Objective Multicast Routing

    Ahmed Y. Hamed1, Monagi H. Alkinani2, M. R. Hassan3,*

    Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1201-1216, 2020, DOI:10.32604/iasc.2020.012663

    Abstract Many applications require to send information from a source node to multiple destinations nodes. To support these applications, the paper presents a multi-objective based genetic algorithm, which is used in the construction of the multicast tree for data transmission in a computer network. The proposed algorithm simultaneously optimizes total weights (cost, delay, and hop) of the multicast tree. Experimental results prove that the proposed algorithm outperforms a recently published Multi-objective Multicast Algorithm specially designed for solving the multicast routing problem. Also, the proposed approach has been applied to ten-node and twenty-node network to illustrate its efficiency. In addition, the execution… More >

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