Search Results - subject:"MOTH"

Urban Aerial Pesticide Spraying Campaigns: Government Disinformation, Industry Profits, and Public Harm

Vallée, Manuel - 2023

–2004 pesticide campaign to eradicate the Painted Apple Moth, which is the largest operation of its kind in world history, whether we …, why the government sought to eradicate the moth through aerial pesticide spraying, the ideological strategies they used to …

Persistent link: https://www.econbiz.de/10014520601

A novel efficient energy optimization in smart urban buildings based on optimal demand side management

Alhasnawi, Bilal Naji; Jasim, Basil H.; Alhasnawi, … - In: Energy strategy reviews 54 (2024), pp. 1-22

. Furthermore, this study has presented a novel two-stage stochastic model based on Moth-Flame Optimization Algorithm (MFOA) for the …

Persistent link: https://www.econbiz.de/10014637303

A hybrid moth-flame algorithm with particle swarm optimization with application in power transmission and distribution

Shaikh, Muhammad Suhail; Raj, Saurav; Babu, Rohit; … - In: Decision analytics journal 6 (2023), pp. 1-11

transposed line. This paper presents a hybrid moth-flame optimization (MFO) and particle swarm optimization (PSO) for estimating …

Persistent link: https://www.econbiz.de/10014506226

Effect of heat treatment with biopreparation on the quality of tomato fruit during storage

Priss, Olesia; Zhukova, Valentina; Holiachuk, Serhii; … - In: Technology audit and production reserves 3 (2021) 3/59, pp. 40-45

Persistent link: https://www.econbiz.de/10013165346

Optimal parameters estimation of PEMFCs model using Converged Moth Search Algorithm

Sun, Shouqiang; Su, Yumei; Yin, Chengbo - In: Energy Reports 6 (2020), pp. 1501-1509

Cells (PEMFCs). The method uses a novel modified version of the Moth Search Algorithm, called Converged Moth Search …

Persistent link: https://www.econbiz.de/10012652501

Optimal parameters estimation of PEMFCs model using Converged Moth Search Algorithm

Sun, Shouqiang; Su, Yumei; Yin, Chengbo; Kittisak … - In: Energy reports 6 (2020), pp. 1501-1509

Cells (PEMFCs). The method uses a novel modified version of the Moth Search Algorithm, called Converged Moth Search …

Persistent link: https://www.econbiz.de/10012266075

Two-echelon electric vehicle routing problem with a developed moth-flame meta-heuristic algorithm

Goli, Alireza; Golmohammadi, Amir-Mohammad; Verdegay, … - In: Operations management research : OMR ; advancing … 15 (2022) 3/4, pp. 891-912

Persistent link: https://www.econbiz.de/10013462536

Incremental learning for text categorization using rough set boundary based optimized Support Vector Neural Network

Venkata Sailaja, N.; Padmasree, L.; Mangathayaru, N. - In: Data Technologies and Applications 54 (2020) 5, pp. 585-601

weights are bounded in a limit using rough set theory. Moreover, for the optimal selection of weights in SVNN, Moth Search (MS …

Persistent link: https://www.econbiz.de/10014712650

A novel evolutionary algorithm (MFO) with rate monotonic scheduling for load balancing in LTE advanced networks

Pradeep, S.; Lakshminarasimman, L. - In: International journal of networking and virtual … 22 (2020) 4, pp. 445-461

Persistent link: https://www.econbiz.de/10012254442

A stochastic economic framework for partitioning biosecurity surveillance resources

Barnes, Belinda; Arthur, Anthony D.; Bloomfield, … - In: Ecological economics : the transdisciplinary journal of … 178 (2020), pp. 1-10

Persistent link: https://www.econbiz.de/10012490996

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