Multi-Objective Constrained Optimization Model and Molten Iron Allocation Application Based on Hybrid Archimedes Optimization Algorithm

The challenge of distributing molten iron involves the optimal allocation of blast furnace output to various steelmaking furnaces, considering the blast furnace’s production capacity and the steelmaking converter’s consumption capacity. The primary objective is to prioritize the distribution from th...

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Vydáno v:	Mathematics (Basel) Ročník 12; číslo 16; s. 2437
Hlavní autoři:	Hu, Huijuan, Shi, Shichao, Xu, He
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.08.2024
Témata:	Algorithms Constraints Continuous casting Decomposition Dynamic programming Efficiency Furnaces Genetic algorithms Hot blast Integer programming iron and steel balance Iron and steel making Lagrange multiplier Linear programming Logistics molten iron allocation Multiple objective analysis Nonlinear programming optimization algorithm Optimization algorithms Optimization models Planning Production capacity quadratic programming Scheduling Steel converters Steel industry Steel production Weighting methods
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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