Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony Algorithm
Being one of the urgent humanity problems, the accumulation of municipal solid organic waste requires their disposal via biogas plants. That is why the purpose of this work is a detailed analysis of structure identification method of interval discrete dynamic model (IDDM) construction based on behav...
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| Format: | Article |
| Language: | English |
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Ukrainian National Forestry University
2017-02-01
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| Series: | Науковий вісник НЛТУ України |
| Subjects: | |
| Online Access: | https://nv.nltu.edu.ua/index.php/journal/article/view/201 |
| _version_ | 1818513595601780736 |
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| author | N.P. Porplytsya I.V. Hural M.P. Dyvak |
| author_facet | N.P. Porplytsya I.V. Hural M.P. Dyvak |
| author_sort | N.P. Porplytsya |
| collection | DOAJ |
| description | Being one of the urgent humanity problems, the accumulation of municipal solid organic waste requires their disposal via biogas plants. That is why the purpose of this work is a detailed analysis of structure identification method of interval discrete dynamic model (IDDM) construction based on behavioral models of bee colonies and reducing computational complexity by improving ways to implement its operators. This method provides coverage expansion decision region of structure identification and creates an effective mechanism to identify local minima objective function. In our work we propose to increase the degree of heterogeneity of coverage by increasing the degree of nonlinearity formula for calculating that in terms of the behavioral model of bee colonies, quantitatively determines the intensity of research nectar sources, but in terms of the problem of structure identification of IDDM - the amount generated "structures-descendants". Therefore, for research we proposed to use the expression, which is based on quadratic dependence of the number generated based on the current structure of IDDM "structures-descendants" from the value of the objective function d(l5). We also propose the implementation of explorer-bees phase using the same quadratic dependence (amount generated by the current structure of interval discrete dynamic model "structure-descendants" of the purpose function) as it reduces the computational complexity of using structure identification's method. To conclude we should claim that our work improved way to implement some operators of the structure identification method, which is based on behavioral models of bee colonies. Experimental researches of the computational complexity the structure identification method showed that the most effective way to implementat the phase of explorer-bees activity (from the behavioral model of the bee's colony) is applying quadratic dependence of the amount of the generated "structures-descendants" based on the current structure IDDM from the value of the objective function d(l5). |
| first_indexed | 2024-12-11T00:03:36Z |
| format | Article |
| id | doaj.art-030465d0cd814674b0c8aefeeca693bb |
| institution | Directory Open Access Journal |
| issn | 1994-7836 2519-2477 |
| language | English |
| last_indexed | 2024-12-11T00:03:36Z |
| publishDate | 2017-02-01 |
| publisher | Ukrainian National Forestry University |
| record_format | Article |
| series | Науковий вісник НЛТУ України |
| spelling | doaj.art-030465d0cd814674b0c8aefeeca693bb2022-12-22T01:28:23ZengUkrainian National Forestry UniversityНауковий вісник НЛТУ України1994-78362519-24772017-02-0127121522110.15421/40270150201Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony AlgorithmN.P. Porplytsya0I.V. Hural1M.P. Dyvak2Ternopil National Economic University, TernopilTernopil National Economic University, TernopilTernopil National Economic University, TernopilBeing one of the urgent humanity problems, the accumulation of municipal solid organic waste requires their disposal via biogas plants. That is why the purpose of this work is a detailed analysis of structure identification method of interval discrete dynamic model (IDDM) construction based on behavioral models of bee colonies and reducing computational complexity by improving ways to implement its operators. This method provides coverage expansion decision region of structure identification and creates an effective mechanism to identify local minima objective function. In our work we propose to increase the degree of heterogeneity of coverage by increasing the degree of nonlinearity formula for calculating that in terms of the behavioral model of bee colonies, quantitatively determines the intensity of research nectar sources, but in terms of the problem of structure identification of IDDM - the amount generated "structures-descendants". Therefore, for research we proposed to use the expression, which is based on quadratic dependence of the number generated based on the current structure of IDDM "structures-descendants" from the value of the objective function d(l5). We also propose the implementation of explorer-bees phase using the same quadratic dependence (amount generated by the current structure of interval discrete dynamic model "structure-descendants" of the purpose function) as it reduces the computational complexity of using structure identification's method. To conclude we should claim that our work improved way to implement some operators of the structure identification method, which is based on behavioral models of bee colonies. Experimental researches of the computational complexity the structure identification method showed that the most effective way to implementat the phase of explorer-bees activity (from the behavioral model of the bee's colony) is applying quadratic dependence of the amount of the generated "structures-descendants" based on the current structure IDDM from the value of the objective function d(l5).https://nv.nltu.edu.ua/index.php/journal/article/view/201structure identificationbee colony algorithminterval discrete dynamic modelfermentationbiogas plant |
| spellingShingle | N.P. Porplytsya I.V. Hural M.P. Dyvak Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony Algorithm Науковий вісник НЛТУ України structure identification bee colony algorithm interval discrete dynamic model fermentation biogas plant |
| title | Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony Algorithm |
| title_full | Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony Algorithm |
| title_fullStr | Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony Algorithm |
| title_full_unstemmed | Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony Algorithm |
| title_short | Structure Identification Method of Models Fermentation at Biogas Plants Using Bee Colony Algorithm |
| title_sort | structure identification method of models fermentation at biogas plants using bee colony algorithm |
| topic | structure identification bee colony algorithm interval discrete dynamic model fermentation biogas plant |
| url | https://nv.nltu.edu.ua/index.php/journal/article/view/201 |
| work_keys_str_mv | AT npporplytsya structureidentificationmethodofmodelsfermentationatbiogasplantsusingbeecolonyalgorithm AT ivhural structureidentificationmethodofmodelsfermentationatbiogasplantsusingbeecolonyalgorithm AT mpdyvak structureidentificationmethodofmodelsfermentationatbiogasplantsusingbeecolonyalgorithm |