ARITHMETIC OPTIMIZATION ALGORITHM BASED ON CAUCHY MUTATION TRIGONOMETRIC FUNCTION SEARCH TO SOLVE COMBINED ECONOMIC EMISSION DISPATCH PROBLEM

Arithmetic Optimization Algorithm Based on Cauchy Mutation Trigonometric Function Search to Solve Combined Economic Emission Dispatch Problem

Nowadays, problems such as greenhouse effect and air pollution become increasingly prominent.The power generation process should pay attention to the fuel cost and reduce the pollution to the environment.In this paper, an arithmetic optimization algorithm (AOA) based on Cauchy mutation trigonometric function search is proposed to solve the combined

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Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor

Thaw slump susceptibility mapping (TSSM) of Qinghai–Tibet railway corridor (QTRC) is the prerequisite and basis for disaster assessment and prevention of permafrost projects.The objective of this article is to construct ensemble learning models based on single classifier models to generate the TSSM of the QTRC, compare and verify the perform

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