Search Results - S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications

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  1. 1

    SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications by Dhiman, Gaurav

    ISSN: 0950-7051, 1872-7409
    Published: Amsterdam Elsevier B.V 21.06.2021
    Published in Knowledge-based systems (21.06.2021)
    “…Chimp Optimization Algorithm (ChoA) is a recently developed meta-heuristic approach which is inspired by the individual intelligence and sexual motivation of chimps…”
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    Journal Article
  2. 2

    Application of hybrid nature-inspired algorithm: Single and bi-objective constrained optimization of magnetic abrasive finishing process parameters by Babbar, Atul, Prakash, Chander, Singh, Sunpreet, Gupta, Munish Kumar, Mia, Mozammel, Pruncu, Catalin Iulian

    ISSN: 2238-7854
    Published: Elsevier B.V 01.07.2020
    “… Therefore, in this survey were investigated the optimization of this process taking into account the material removal rate and surface characteristics using a hybrid nature inspired algorithm…”
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    Journal Article
  3. 3

    Meta Heuristic and Nature Inspired Hybrid Approach for Home Energy Management Using Flower Pollination Algorithm and Bacterial Foraging Optimization Technique by Awais, Muhammad, Javaid, Nadeem, Mateen, Abdul, Khan, Nasir, Mohiuddin, Ali, Rehman, Malik Hassan Abdul

    ISSN: 2332-5658
    Published: IEEE 01.05.2018
    “…Nowadays, different schemes and ways are proposed to meet the user's load requirement of energy towards the Demand Side (DS) in order to encapsulate the energy…”
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    Conference Proceeding
  4. 4

    Hybrid Nature-Inspired Optimization Algorithm: Hydrozoan and Sea Turtle Foraging Algorithms for Solving Continuous Optimization Problems by Tansui, Daranat, Thammano, Arit

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2020
    Published in IEEE access (2020)
    “…In this paper, we develop a hybrid optimization algorithm inspired by the reproduction processes of hydrozoans and the foraging behavior of sea turtles for solving continuous optimization problems…”
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    Journal Article
  5. 5

    Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications by Slowik, Adam, Cpalka, Krzysztof

    ISSN: 1551-3203, 1941-0050
    Published: Piscataway IEEE 01.01.2022
    “…These days, hybrid nature-inspired population-based intelligent optimization methods are a wide range of the algorithms, which are used very often to solve real-world (industrial…”
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    Journal Article
  6. 6

    Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications by Slowik, Adam, Cpalka, Krzysztof

    ISSN: 1551-3203, 1941-0050
    Published: Piscataway IEEE 01.01.2022
    “…The article presents issues related to hybrid nature-inspired population-based algorithms of global optimization and their industrial applications…”
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    Journal Article
  7. 7

    An Improved Hybrid Aquila Optimizer and Pigeon-Inspired Optimization Algorithm with Its Application in PID Parameter Optimization by Chen, Dongning, Du, Xinwei, Wang, Haowen, Xian, Qinggui, Sha, Jianhao, Yao, Chengyu

    Published: IEEE 06.09.2024
    “…To improve the optimization performance of the standard Aquila Optimizer (AO), an Improved Hybrid Aquila Optimizer and Pigeon-Inspired Optimization (IHAOPIO…”
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    Conference Proceeding
  8. 8

    Optimization techniques for task scheduling criteria in IaaS cloud computing atmosphere using nature inspired hybrid spotted hyena optimization algorithm by Natesan, Gobalakrishnan, Ali, Javid, Krishnadoss, Pradeep, Chidambaram, Raman, Nanjappan, Manikandan

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken, USA John Wiley & Sons, Inc 01.11.2022
    Published in Concurrency and computation (01.11.2022)
    “…‐heuristic scheduling algorithms emerge as scheduling options, they need to be much more consistent while dealing with the dynamic set up of the cloud environment…”
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    Journal Article
  9. 9

    Predictive modelling of building energy consumption based on a hybrid nature-inspired optimization algorithm by Goudarzi, Shidrokh, Anisi, Mohammad Hossein, Kama, Nazri, Doctor, Faiyaz, Soleymani, Seyed Ahmad, Sangaiah, Arun Kumar

    ISSN: 0378-7788, 1872-6178
    Published: Lausanne Elsevier B.V 01.08.2019
    Published in Energy and buildings (01.08.2019)
    “…Overall energy consumption has expanded over the previous decades because of rapid population, urbanization and industrial growth rates. The high demand for…”
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    Journal Article
  10. 10

    Hybrid Solar-Wind Energy System with Enhanced Power Optimization Using Nature-Inspired Egret Swarm Algorithm by Anbazhagan, L., Basha, CH Hussaian, Dheepak, G., P, Thenmozhi, Nachimuthu, S., Pushpalatha, D.

    Published: IEEE 04.03.2025
    “…A new hybrid renewable energy system comprised of solar and wind power is presented and also an innovative optimization approach using Egret Swarm Algorithm (ESA…”
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    Conference Proceeding
  11. 11

    Path planning for mobile robots with waypoint management using a hybrid nature inspired optimization algorithm by Yadav, Subhash, Shukla, Shubham, Tiwari, Ritu, Yadav, Mahendra Pratap

    ISSN: 1386-7857, 1573-7543
    Published: New York Springer US 01.10.2025
    Published in Cluster computing (01.10.2025)
    “… Galactic Swarm optimization (GSO) and Whale optimization Algorithm (WOA) strengths are combined in the proposed hybrid optimization algorithm…”
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    Journal Article
  12. 12

    Nature-inspired Hybrid Optimization Algorithms for Load Flow Analysis of Islanded Microgrids by Saad Mohammad Abdullah, Ashik Ahmed, Quazi Nafees Ul Islam

    ISSN: 2196-5420
    Published: IEEE 01.11.2020
    “… This paper proposes the application of nature-inspired hybrid optimization algorithms for solving the load flow problem of islanded microgrids…”
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    Journal Article
  13. 13

    Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms by Schuetz, Martin J A, Brubaker, J Kyle, Montagu, Henry, Yannick van Dijk, Klepsch, Johannes, Ross, Philipp, Luckow, Andre, Resende, Mauricio G C, Katzgraber, Helmut G

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 08.06.2022
    Published in arXiv.org (08.06.2022)
    “… stacking and ensemble techniques, as well as path relinking for solution refinement. The core optimization module consists of a biased random-key genetic algorithm…”
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    Paper
  14. 14

    HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing by Chen, Yang, Pi, Dechang, Yang, Shengxiang, Xu, Yue, Chen, Junfu, Mohamed, Ali Wagdy

    ISSN: 1932-4537, 1932-4537
    Published: New York IEEE 01.09.2022
    “… The problem involves user offloading decision, UAV location and allocation with computational resources, and is a hybrid optimization problem with continuous and discrete variables…”
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    Journal Article
  15. 15

    Predictive modelling of building energy consumption based on a hybrid nature-inspired optimization algorithm by Goudarzi, S, Anisi, M H, Kama, N, Doctor, F, Soleymani, S A, Sangaiah, A K

    ISSN: 0972-6721, 1875-9297
    Published: New Delhi The Energy and Resources Institute 01.09.2019
    “… Therefore, we have developed an improved hybrid model based on the ARIMA, support vector regression (SVRs…”
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    Journal Article
  16. 16

    Nature-inspired and hybrid optimization algorithms on interval Type-2 fuzzy controller for servo processes: a comparative performance study by De (Maity), Ritu Rani, Mudi, Rajani K., Dey, Chanchal

    ISSN: 2523-3963, 2523-3971
    Published: Cham Springer International Publishing 01.07.2020
    Published in SN applied sciences (01.07.2020)
    “…In this paper, performance evaluations of six well-known nature-inspired algorithms have been reported containing genetic algorithm, cuckoo search, particle swarm optimization, differential evolution…”
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    Journal Article
  17. 17

    Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms by Hussain Alhamami, Ali, Abba, Sani I., Musa, Bashir, Aminu Dodo, Yakubu, Abiodun Salami, Babatunde, Alhaji Dodo, Usman, Alyami, Saleh H.

    ISSN: 0196-8904
    Published: Elsevier Ltd 01.09.2024
    Published in Energy conversion and management (01.09.2024)
    “…•A multi-region design load system was proposed to reduce the total annual cost.•Several hybrid approaches were derived for the modelling of energy demand…”
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    Journal Article
  18. 18

    Techno-Economic Analysis and Optimal Sizing of Stand-alone Hybrid AC-DC Microgrid by Nature inspired Firefly algorithm and Particle Swarm Optimization by Kurundkar, Kalyani, Karve, Gauri, Vaidya, G.A.

    Published: IEEE 25.06.2021
    “… Along with Optimal sizing, techno-economic analysis is carried out for two different scenarios and results are compared using nature inspired Firefly Algorithm (FA…”
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    Conference Proceeding
  19. 19

    Enhanced QOS energy-efficient routing algorithm using deep belief neural network in hybrid falcon-improved ACO nature-inspired optimization in wireless sensor networks by Krishna K.P.R., Thirumuru, R

    ISSN: 1210-0552, 2336-4335
    Published: Prague Czech Technical University in Prague, Faculty of Transportation Sciences 01.01.2023
    Published in Neural network world (01.01.2023)
    “… Thus, our research proposes a routing protocol, namely hybrid falcon-improved ACO Nature-Inspired Optimization using a deep learning model to reduce energy consumption while increases the network lifetime…”
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    Journal Article
  20. 20

    Multilayer Perceptron and Their Comparison with Two Nature-Inspired Hybrid Techniques of Biogeography-Based Optimization (BBO) and Backtracking Search Algorithm (BSA) for Assessment of Landslide Susceptibility by Moayedi, Hossein, Canatalay, Peren Jerfi, Ahmadi Dehrashid, Atefeh, Cifci, Mehmet Akif, Salari, Marjan, Le, Binh Nguyen

    ISSN: 2073-445X, 2073-445X
    Published: Basel MDPI AG 01.01.2023
    Published in Land (Basel) (01.01.2023)
    “…) neural network was upgraded with two novel techniques: backtracking search algorithm (BSA) and biogeography-based optimization…”
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    Journal Article