Results 181 to 190 of about 2,020,079 (204)

Bridges Strengthening by Conversion to Tied-Arch Using Monarch Butterfly Optimization

2019
The problem existing in bridges that collapse due to undermining of the piers that sustain it, as well as collapses due to hydraulic action, generate high costs that can be reduced, making the repair of its structures. It is possible to reinforce them by modification, incorporating cable-stayed arches, and tensioning of hangers to support them. In this
Orlando Gardella, Broderick Crawford, Ricardo Soto 0001, José Lemus-Romani, Gino Astorga, Agustín Salas-Fernández   +5 more
openaire   +1 more source

An Improved Monarch Butterfly Optimization with Equal Partition and F/T Mutation

2017
In general, the population of most metaheuristic algorithms is randomly initialized at the start of search. Monarch Butterfly Optimization (MBO) with a randomly initialized population, as a kind of metaheuristic algorithm, is recently proposed by Wang et al.
Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng 0002, Zhihua Cui   +3 more
openaire   +2 more sources

Feature selection using binary monarch butterfly optimization

Applied Intelligence, 2022
Lin Sun 0002, Shanshan Si, Jing Zhao, Jiucheng Xu, Yaojin Lin, Zhiying Lv   +5 more
openaire   +2 more sources

Monarch Butterfly Optimization

2021
Liwen Xie, Gai-Ge Wang
openaire   +1 more source

Optimal conservation of migratory monarch butterflies requires immediate international coordination

Current Biology
The eastern North American monarch butterfly, known for its spectacular annual migration between Mexico, USA, and Canada, is currently the focus of intense conservation attention to minimize extinction risk and reach a conservation target of approximately 132 million individuals (equivalent to occupying 6 ha of overwintering habitat in Mexico).1 Given ...
Flockhart, D.T. Tyler, Nicol, Sam, Chadès, Iadine, Mitchell, Greg W., Martin, Tara G., Fuller, Richard A., Norris, D. Ryan   +6 more
openaire   +4 more sources

OPTIMIZING MONARCH BUTTERFLY AND BEE CONSERVATION EFFORTS IN THE URBAN LANDSCAPE

2020
Copyright © Adam M.
openaire   +1 more source

Monarch Butterfly Optimization

2020
Pushpendra Singh, Nand K. Meena, Jin Yang, Adam Slowik   +3 more
openaire   +1 more source

A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism

Applied Intelligence, 2022
Tianpeng Xu, Fuqing Zhao, Jianxin Tang, Songlin Du, Jonrinaldi   +4 more
openaire   +2 more sources

CCMBO: a covariance-based clustered monarch butterfly algorithm for optimization problems

Memetic Computing, 2022
Samaneh Yazdani, Esmaeil Hadavandi, Mohammad Mirzaei   +2 more
openaire   +1 more source

Architecture evolution of convolutional neural network using monarch butterfly optimization

Journal of Ambient Intelligence and Humanized Computing, 2022
Yong Wang 0076, Xiaobin Qiao, Gai-Ge Wang   +2 more
openaire   +2 more sources