Suchergebnisse - stochastic metaheuristic optimization algorithm

  1. 1

    Fungal growth optimizer: A novel nature-inspired metaheuristic algorithm for stochastic optimization von Abdel-Basset, Mohamed, Mohamed, Reda, Abouhawwash, Mohamed

    ISSN: 0045-7825
    Veröffentlicht: Elsevier B.V 15.03.2025
    “… •Offers a robust alternative for solving complex stochastic optimization problems. This study presents a new nature-inspired metaheuristic algorithm, known as the fungal growth optimizer (FGO …”
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    Projectile-target search algorithm: a stochastic metaheuristic optimization technique von Hiendro, Ayong

    ISSN: 2088-8708, 2722-2578, 2088-8708
    Veröffentlicht: Yogyakarta IAES Institute of Advanced Engineering and Science 01.10.2019
    “… This paper proposes a new stochastic metaheuristic optimization algorithm which is based on kinematics of projectile motion and called projectile-target search (PTS) algorithm …”
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  3. 3

    Optimization and inventory management under stochastic demand using metaheuristic algorithm von Tan, Nguyen Duy, Kim, Hwan-Seong, Long, Le Ngoc Bao, Nguyen, Duy Anh, You, Sam-Sang

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 05.01.2024
    Veröffentlicht in PloS one (05.01.2024)
    “… This study considers multi-period inventory systems for optimizing profit and storage space under stochastic demand …”
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  4. 4

    Multicriteria Optimization of Stochastic Robust Control of the Tracking System von Kuznetsov, Borys I., Bovdui, Ihor V., Voloshko, Olena V., Nikitina, Tetyana B., Kobylianskyi, Borys B.

    ISSN: 2709-2984, 2709-2992
    Veröffentlicht: NAS of Ukraine, A. Pidhornyi Institute of Mechanical Engineering Problems 30.09.2024
    Veröffentlicht in Journal of mechanical engineering (Kharkiv. Online) (30.09.2024)
    “… A multicriteria optimization of stochastic robust control with two degrees of freedom of a tracking system with anisotropic regulators has been developed to increase accuracy and reduce sensitivity …”
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    Two effective metaheuristic algorithms for solving a stochastic optimization model of a multi-echelon supply chain von Khalifehzadeh, Sasan, Fakhrzad, M.B., Zare Mehrjerdi, Yahia, Hosseini_Nasab, Hasan

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.03.2019
    Veröffentlicht in Applied soft computing (01.03.2019)
    “… A stochastic multi objective model with maximizing total profit of the system and minimizing total delivery lead time is designed …”
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    Multicriteria Parametric Optimization of Nonlinear Robust Control with Two Degrees of Freedom by a Discrete-Continuous Plant von Kuznetsov, Borys I., Bovdui, Ihor V., Voloshko, Olena V., Nikitina, Tetyana B., Kobylianskyi, Borys B.

    ISSN: 2709-2984, 2709-2992
    Veröffentlicht: NAS of Ukraine, A. Pidhornyi Institute of Mechanical Engineering Problems 30.09.2023
    Veröffentlicht in Journal of mechanical engineering (Kharkiv. Online) (30.09.2023)
    “… A multicriteria parametric optimization of nonlinear robust control with two degrees of freedom by a discrete-continuous plant has been developed to increase accuracy and reduce sensitivity to uncertain plant parameters …”
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    Dynamic-fitness-distance-balance stochastic fractal search (dFDB-SFS algorithm): an effective metaheuristic for global optimization and accurate photovoltaic modeling von Kahraman, Hamdi Tolga, Hassan, Mohamed H., Katı, Mehmet, Tostado-Véliz, Marcos, Duman, Serhat, Kamel, Salah

    ISSN: 1432-7643, 1433-7479
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024
    Veröffentlicht in Soft computing (Berlin, Germany) (01.05.2024)
    “… The stochastic fractal search (SFS) algorithm, among population-based metaheuristic automation algorithms, is a robust optimization algorithm for solving optimization problems in different fields of science, inspired by the diffusion …”
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    Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms von Kumar, Ashish, Saini, Monika, Gupta, Nivedita, Sinwar, Deepak, Singh, Dilbag, Kaur, Manjit, Lee, Heung-No

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2022
    Veröffentlicht in IEEE access (2022)
    “… Metaheuristic algorithms are extensively utilized to find solutions and optimize complex industrial systems' performance …”
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    Stochastic Optimization Method for Multi-exit Deep Neural Networks for Edge Intelligence Applications von LI Zhoucheng, ZHANG Yi, SUN Jin

    ISSN: 1002-137X
    Veröffentlicht: Editorial office of Computer Science 01.04.2025
    Veröffentlicht in Ji suan ji ke xue (01.04.2025)
    “… AoI.The stochastic optimization theory is incorporated to make decision on the most appropriate exit configuration for the purpose of minimizing …”
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    A COMPARISON STUDY OF DETERMINISTIC AND METAHEURISTIC ALGORITHMS FOR STOCHASTIC TRAFFIC FLOW OPTIMIZATION UNDER SATURATED CONDITION von Tan, Min Keng, Chuo, Helen Sin Ee, Lim, Kit Guan, Chin, Renee Ka Yin, Yang, Soo Siang, Teo, Kenneth Tze Kin

    ISSN: 0976-6561, 2229-6956
    Veröffentlicht: 01.04.2020
    Veröffentlicht in ICTACT journal on soft computing (01.04.2020)
    “… ) algorithms, which can categorize as deterministic and metaheuristic algorithms have been suggested to mitigate congestion …”
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    Stochastic modeling and availability optimization of reverse osmosis water purification system using metaheuristic algorithms von Saini, Monika, Kumar, Naveen, Sinwar, Deepak, Kumar, Ashish

    ISSN: 1355-2511, 1758-7832
    Veröffentlicht: Bradford Emerald Publishing Limited 14.11.2024
    Veröffentlicht in Journal of quality in maintenance engineering (14.11.2024)
    “… PurposeThe main objective of the present investigation is to develop a novel efficient stochastic model for availability optimization of reverse osmosis machine system (ROMS …”
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    Stochastic Modeling and Performance Optimization of Marine Power Plant with Metaheuristic Algorithms von Saini, Monika, Patel, Bhavan Lal, Kumar, Ashish

    ISSN: 1671-9433, 1993-5048
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023
    Veröffentlicht in Journal of marine science and application (01.12.2023)
    “… subsystems. The availability expression of marine power plant is derived. Metaheuristic algorithms namely dragonfly algorithm (DA), bat algorithm (BA …”
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    Stochastic-Metaheuristic Model for Multi-Criteria Allocation of Wind Energy Resources in Distribution Network Using Improved Equilibrium Optimization Algorithm von Alanazi, Abdulaziz, Alanazi, Mohana, Nowdeh, Saber Arabi, Abdelaziz, Almoataz Y., Abu-Siada, Ahmed

    ISSN: 2079-9292, 2079-9292
    Veröffentlicht: Basel MDPI AG 01.10.2022
    Veröffentlicht in Electronics (Basel) (01.10.2022)
    “… ) and load demand based on the normal PDF and using a new meta-heuristic method named the improved equilibrium optimization algorithm (IEOA …”
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  14. 14

    Stochastic optimization framework for capacity planning of hybrid solar PV–small hydropower systems using metaheuristic algorithms von Ssekulima, Edward B., Etemadi, Amir H.

    ISSN: 2199-4536, 2198-6053
    Veröffentlicht: Cham Springer International Publishing 02.12.2025
    Veröffentlicht in Complex & intelligent systems (02.12.2025)
    “… stochastic framework for the hybridization of renewable energy technologies. To bridge this gap, this study develops a stochastic optimization framework and conducts a comprehensive evaluation of six metaheuristics …”
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    Application of a novel metaheuristic algorithm inspired by Adam gradient descent in distributed permutation flow shop scheduling problem and continuous engineering problems von Xia, Yiqiang, Ji, Yanzhe

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 01.07.2025
    Veröffentlicht in Scientific reports (01.07.2025)
    “… Metaheuristic algorithms that combine mathematical properties with stochastic search processes can help break through the traditional evolutionary paradigm and enhance individual optimization …”
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    Enhanced leader particle swarm optimisation (ELPSO): An efficient algorithm for parameter estimation of photovoltaic (PV) cells and modules von Rezaee Jordehi, A.

    ISSN: 0038-092X, 1471-1257
    Veröffentlicht: New York Elsevier Ltd 01.01.2018
    Veröffentlicht in Solar energy (01.01.2018)
    “… This problem is commonly converted into an optimisation problem and is solved by metaheuristic optimisation algorithms …”
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    Efficient DC motor speed control using a novel multi-stage FOPD(1 + PI) controller optimized by the Pelican optimization algorithm von Jabari, Mostafa, Ekinci, Serdar, Izci, Davut, Bajaj, Mohit, Zaitsev, Ievgen

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 28.09.2024
    Veröffentlicht in Scientific reports (28.09.2024)
    “… Comparative analysis is conducted against conventional PID and fractional-order PID (FOPID) controllers, fine-tuned using metaheuristic algorithms such as atom search optimization (ASO …”
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    Optimal Stochastic Process Optimizer: A New Metaheuristic Algorithm With Adaptive Exploration-Exploitation Property von Xu, Jiahong, Xu, Lihong

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2021
    Veröffentlicht in IEEE access (2021)
    “… This work proposes a novel self-adaptive metaheuristic optimization algorithm, named Optimal Stochastic Process Optimizer (OSPO …”
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    A dynamic stochastic search algorithm for high-dimensional optimization problems and its application to feature selection von Liu, Qi, Liu, Mengxue, Wang, Fengde, Xiao, Wensheng

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Amsterdam Elsevier B.V 23.05.2022
    Veröffentlicht in Knowledge-based systems (23.05.2022)
    “… In this paper, a novel metaheuristic algorithm called Dynamic Stochastic Search (DSS) is proposed for high-dimensional optimization problems …”
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    A Novel Parameter Optimization Metaheuristic: Human Habitation Behavior Based Optimization von Jain, Divya, Arya, Mithlesh, Malik, Varun, Singh, S Vikram

    Veröffentlicht: IEEE 14.12.2022
    “… Parameters have great impact on the performance of an optimization algorithm. This paper concerns parameter tuning for metaheuristics which are stochastic optimization algorithms …”
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