Synthesis of Optimal Robust Regulator for Food Processing Facilities

Korobiichuk, Igor; Lutska, Nataliia; Ladanyuk, Anatoliy; Naku, Serhii; Kachniarz, Maciej; Nowicki, Michał; Szewczyk, Roman

doi:10.1007/978-3-319-54042-9_5

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Cited by 22 publications

(3 citation statements)

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“…At each iteration, the amount of pheromone on each edge of the graph is adjusted according to Formula (6).…”

Section: The Results Of Researchmentioning

confidence: 99%

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Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants

Korobiichuk¹,

Serhii²,

Seidykh³

et al. 2023

JAMRIS

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A modified ant colony algorithm has been developed, which, unlike its classical form, when applied to solve the problem of order fulfillment scheduling, allows us to reduce time by using local optimization approaches. The developed modified ant colony algorithm contains an additional improvement by local optimization methods, which reduces the time to find a solution. The proposed algorithm, when applied, allows for reconfiguration of plans while reducing the search time for the optimum by almost 20% compared to other versions of the algorithms.

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“…At each iteration, the amount of pheromone on each edge of the graph is adjusted according to Formula (6).…”

Section: The Results Of Researchmentioning

confidence: 99%

“…It is important to note that the industry problem of improving the efficiency of food enterprises requires a comprehensive solution, which includes a set of problem-oriented models, methods and algorithms, management technologies and appropriate information and software [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants

Korobiichuk¹,

Serhii²,

Seidykh³

et al. 2023

JAMRIS

View full text Add to dashboard Cite

show abstract

“…Most food, processing, chemical and other industries operate in this mode. At the same time an improvement of information support significantly changes the modes of operation, increasing the resource-and energy efficiency of the enterprise [2][3][4].…”

Section: Introductionmentioning

confidence: 99%