Suchergebnisse - "Hybrid multi-objective evolutionary algorithms"

  1. 1

    Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization von Xu, Ying, Ding, Ou, Qu, Rong, Li, Keqin

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.07.2018
    Veröffentlicht in Applied soft computing (01.07.2018)
    “… •This paper models the coverage control optimization problem in WSN as a multi-objective optimization problem considering multiple objectives.•A hybrid …”
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  2. 2

    Risk conscious solution of planning problems under uncertainty by hybrid multi-objective evolutionary algorithms von Tometzki, Thomas, Engell, Sebastian

    ISSN: 0098-1354, 1873-4375
    Veröffentlicht: Kidlington Elsevier Ltd 15.11.2011
    Veröffentlicht in Computers & chemical engineering (15.11.2011)
    “… We consider the risk conscious solution of planning problems with uncertainties in the problem data. The problems are formulated as two-stage stochastic …”
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  3. 3

    Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction von Smith, Christopher, Jin, Yaochu

    ISSN: 0925-2312, 1872-8286
    Veröffentlicht: Amsterdam Elsevier B.V 02.11.2014
    Veröffentlicht in Neurocomputing (Amsterdam) (02.11.2014)
    “… In this paper we present a hybrid multi-objective evolutionary algorithm that trains and optimizes the structure of recurrent neural networks for time series prediction …”
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  4. 4

    Stopping criteria for MAPLS-AW, a hybrid multi-objective evolutionary algorithm von Bhuvana, J., Aravindan, Chandrabose

    ISSN: 1432-7643, 1433-7479
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2016
    Veröffentlicht in Soft computing (Berlin, Germany) (01.06.2016)
    “… Evolutionary algorithms are widely used to solve multi-objective optimization problems effectively by performing global search over the solution space to find …”
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  5. 5

    Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multiobjective evolutionary algorithm von Ali, Aamir, Abbas, Ghulam, Keerio, Muhammad Usman, Koondhar, Mohsin Ali, Chandni, Kiran, Mirsaeidi, Sohrab

    ISSN: 1751-8687, 1751-8695
    Veröffentlicht: Wiley 01.01.2023
    Veröffentlicht in IET generation, transmission & distribution (01.01.2023)
    “… An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms (EAs) are …”
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  6. 6

    A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance von An, Youjun, Chen, Xiaohui, Gao, Kaizhou, Zhang, Lin, Li, Yinghe, Zhao, Ziye

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: Elsevier Ltd 01.02.2023
    Veröffentlicht in Expert systems with applications (01.02.2023)
    “… Production scheduling and maintenance planning are two of the most important tasks in the modern manufacturing workshop. Meanwhile, due to the dynamic order …”
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  7. 7

    Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm von Fu, Yaping, Wang, Hongfeng, Tian, Guangdong, Li, Zhiwu, Hu, Hesuan

    ISSN: 0956-5515, 1572-8145
    Veröffentlicht: New York Springer US 01.06.2019
    Veröffentlicht in Journal of intelligent manufacturing (01.06.2019)
    “… To solve this problem efficiently, this study proposes a hybrid multi-objective evolutionary algorithm which is a combination of an evolutionary algorithm and a local search method …”
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  8. 8

    Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problems von Abdi, Yousef, Feizi-Derakhshi, Mohammad-Reza

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.02.2020
    Veröffentlicht in Applied soft computing (01.02.2020)
    “… Big Data optimization (Big-Opt) refers to optimization problems which require to manage the properties of big data analytics. In the present paper, the Search …”
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  9. 9

    A hybrid multi-objective evolutionary algorithm to integrate optimization of the production scheduling and imperfect cutting tool maintenance considering total energy consumption von An, Youjun, Chen, Xiaohui, Zhang, Ji, Li, Yinghe

    ISSN: 0959-6526, 1879-1786
    Veröffentlicht: Elsevier Ltd 20.09.2020
    Veröffentlicht in Journal of cleaner production (20.09.2020)
    “… With the increase in awareness of energy conservation and emission reduction in the manufacturing sector, the energy efficiency optimization of the production …”
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  10. 10

    Semantic sensor data integration for talent development via hybrid multiobjective evolutionary algorithm von Luo, Fang, Yang, Ya‐Juan, Geng, Yu‐Cheng

    ISSN: 2476-1508, 2476-1508
    Veröffentlicht: Chichester, UK John Wiley & Sons, Ltd 01.03.2025
    Veröffentlicht in Internet technology letters (01.03.2025)
    “… In this work, we propose a new hybrid MultiObjective Evolutionary Algorithm (hMOEA) specifically designed for semantic sensor data integration, targeting talent development within the burgeoning field of the Semantic Internet of Things …”
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    A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming von Bai, Zhenzu, Zhou, Haiyin, Shi, Jianmai, Xing, Lining, Wang, Jiongqi

    ISSN: 2210-6502
    Veröffentlicht: Elsevier B.V 01.06.2024
    Veröffentlicht in Swarm and evolutionary computation (01.06.2024)
    “… Emerging Unmanned Aerial Vehicle (UAV) application patterns, including the Loyal Wingman and Unmanned Swarms, have significantly challenged the administration …”
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    An effective hybrid multi objective evolutionary algorithm for solving real time event in flexible job shop scheduling problem von Sreekara Reddy, M.B.S., Ratnam, Ch, Rajyalakshmi, G., Manupati, V.K.

    ISSN: 0263-2241, 1873-412X
    Veröffentlicht: London Elsevier Ltd 01.01.2018
    “… This paper addresses the multi-objective model for a flexible job shop scheduling problem (FJSSP) to improve the system performance under the condition of …”
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  13. 13

    Constrained multi-objective optimization using constrained non-dominated sorting combined with an improved hybrid multi-objective evolutionary algorithm von Ning, Weikang, Guo, Baolong, Yan, Yunyi, Wu, Xianxiang, Wu, Jinfu, Zhao, Dan

    ISSN: 0305-215X, 1029-0273
    Veröffentlicht: Abingdon Taylor & Francis 03.10.2017
    Veröffentlicht in Engineering optimization (03.10.2017)
    “… Constrained multi-objective optimization problems (cMOPs) are complex because the optimizer should balance not only between exploration and exploitation, but …”
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  14. 14

    A hybrid multi-objective evolutionary algorithm with feedback mechanism von Lu, Chao, Gao, Liang, Li, Xinyu, Zeng, Bing, Zhou, Feng

    ISSN: 0924-669X, 1573-7497
    Veröffentlicht: New York Springer US 01.11.2018
    Veröffentlicht in Applied intelligence (Dordrecht, Netherlands) (01.11.2018)
    “… Exploration and exploitation are two cornerstones for multi-objective evolutionary algorithms (MOEAs). To balance exploration and exploitation, we propose an …”
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  15. 15

    Shape optimization of free-form grid structures based on the sensitivity hybrid multi-objective evolutionary algorithm von Wang, Zhicheng, Cao, Zhenggang, Fan, Feng, Sun, Ying

    ISSN: 2352-7102, 2352-7102
    Veröffentlicht: Elsevier Ltd 01.12.2021
    Veröffentlicht in Journal of Building Engineering (01.12.2021)
    “… The sensitivity hybrid multi-objective evolutionary algorithm (referred to as SH-MOEA) is developed and the shape optimization of the free-form grid structures is carried out based on the developed algorithm …”
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    A hybrid multi-objective evolutionary algorithm for wind-turbine blade optimization von Sessarego, M., Dixon, K.R., Rival, D.E., Wood, D.H.

    ISSN: 0305-215X, 1029-0273
    Veröffentlicht: Abingdon Taylor & Francis 03.08.2015
    Veröffentlicht in Engineering optimization (03.08.2015)
    “… A concurrent-hybrid non-dominated sorting genetic algorithm (hybrid NSGA-II) has been developed and applied to the simultaneous optimization of the annual …”
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    A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems von Ramakurthi, Veera Babu, Manupati, V. K., Machado, José, Varela, Leonilde

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 08.07.2021
    Veröffentlicht in Applied sciences (08.07.2021)
    “… Rising energy prices, increasing maintenance costs, and strict environmental regimes have augmented the already existing pressure on the contemporary …”
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    A novel Hybrid Multi-objective Evolutionary Algorithm for the bi-Objective Minimum Diameter-Cost Spanning Tree (bi-MDCST) problem von Prakash, V. Prem, Patvardhan, C., Srivastav, Anand

    ISSN: 0952-1976, 1873-6769
    Veröffentlicht: Elsevier Ltd 01.01.2020
    Veröffentlicht in Engineering applications of artificial intelligence (01.01.2020)
    “… Given a connected, weighted, undirected graph G = (V, E), the bi-objective Minimum Diameter-Cost Spanning Tree (bi-MDCST) Problem aims to find spanning trees …”
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    A hybrid multi-objective evolutionary algorithm for open vehicle routing problem through cluster primary-route secondary approach von Dutta, Joydeep, Barma, Partha Sarathi, Mukherjee, Anupam, Kar, Samarjit, De, Tanmay

    ISSN: 1750-9653, 1750-9661
    Veröffentlicht: Taylor & Francis 03.04.2022
    “… This study focuses on the cluster primary-route secondary approach to solve the multi-objective open green vehicle routing problem under a sustainable …”
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    A hybrid multi-objective evolutionary algorithm based on NSGA-II for practical scheduling with release times in steel plants von Long, Jianyu, Zheng, Zhong, Gao, Xiaoqiang, Pardalos, Panos M

    ISSN: 0160-5682, 1476-9360
    Veröffentlicht: London Taylor & Francis 01.09.2016
    Veröffentlicht in The Journal of the Operational Research Society (01.09.2016)
    “… For the solving of the multi-objective optimization, a hybrid multi-objective evolutionary algorithm based on non-dominated sorting genetic algorithm-II (NSGA-II) is proposed …”
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