The Pareto frontier solution of NSGA-Ⅱ.

<div><p>The high concentration of hazardous sources in chemical parks, which is prone to cause chain accidents, puts forward the demand for dynamic cooperative optimization of emergency resource scheduling. Aiming at the deficiencies of existing studies in the adaptability of dynamic mul...

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Bibliographic Details
Main Author:	Yuhang Wang (332111) (author)
Other Authors:	Mingguang Zhang (436380) (author), Jun Lu (36049) (author), Yufei Gui (11945954) (author)
Published:	2025
Subjects:	Ecology Sociology Science Policy Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified warehouse collaborative supply sensitivity analysis confirms pareto front efficiently loss tolerance thresholds integer planning model holds irreplaceable importance generating 41 sets exhibiting excellent convergence elite reservation strategy optimal solution using mogwo algorithm demonstrate key driver determining ii performs superiorly dynamic cooperative optimization comprehensive weighted losses cause chain accidents independent optimization objective chemical industrial park emergency resource scheduling integrates time efficiency demand satisfaction rates resource allocation fairness ii algorithm chemical accidents resource demand weighted method transportation time search efficiency key metrics emergency dispatching conducted using allocation fairness objective mixed objective balance chemical parks dynamic multi xlink "> standard deviation significant increases puts forward paper constructs often accompanied innovatively quantified high concentration hazardous sources hazard scenarios feasible solutions existing studies demand coverage composite score
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The Pareto frontier solution of NSGA-Ⅱ.

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