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Optimizing Extreme Learning Machine by Animal Migration Optimization

2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), 2022
Extreme learning machine (ELM) is a promising machine learning model for both classification and regression challenges. The ELM is very fast because it does not require training, while weights between the input layer and single hidden layer along with ...
Ana Vesić, Marina Marjanovic, A. Petrović, I. Strumberger, Eva Tuba, Timea Bezdan   +5 more
semanticscholar   +1 more source

A discrete animal migration algorithm for dual-resource constrained energy-saving flexible job shop scheduling problem

Journal of Intelligent & Fuzzy Systems, 2021
This paper presents a discrete animal migration optimization (DAMO) to solve the dual-resource constrained energy-saving flexible job shop scheduling problem (DRCESFJSP), with the aim of minimizing the total energy consumption in the workshop.
Tianhua Jiang, Huiqi Zhu, Jiuchun Gu, Lu Liu, Haicao Song   +4 more
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Tracking animal migration with stable isotopes

Isotopes in environmental and health studies, 2019
Keith Hobson and Leonard Wassenaar carefully revised and expanded their seminal book on ‘Tracking animal migration with stable isotopes’.
K. Auerswald
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An intelligent algorithm with interactive learning mechanism for high‐dimensional optimization problem based on improved animal migration optimization

Concurrency and Computation, 2020
Recently, a new intelligent algorithm called animal migration optimization (AMO) is proposed. The AMO algorithm, which is inspired by the behavior of animal migration, exhibits good performance on a series of benchmark functions whose dimensionality is ...
Zhaolin Lai, Xiaochun Hu, Caoqing Jiang
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An Animal Migration Forecast Model With Weather Radar and Meteorological Data

IEEE Transactions on Geoscience and Remote Sensing
Predicting aerial animal migration is of great significance for biological research, ecological conservation, and agricultural production. The mechanism of animal migration is deeply coupled with spatiotemporal and meteorological factors.
Cheng Hu, Xuan Liu, Kai Cui, Huafeng Mao, Rui Wang, Dongli Wu   +5 more
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A memetic animal migration optimizer for multimodal optimization

Evolutionary Systematics, 2021
Taymaz Rahkar Farshi
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Animal Migration

Migration, 2020
I. Couzin
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Deep-learning-based extraction of the animal migration patterns from weather radar images

Science China Information Sciences, 2020
Kai Cui, Cheng Hu, Rui Wang, Yi Sui, Huafeng Mao, Huayu Li   +5 more
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