Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium
The collaborative evaluation of enterprise innovation populations is a hot issue. The Lotka–Volterra model is a mature method used to evaluate the interaction mechanism of populations and is widely used in innovation ecology research studies. The Lotka–Volterra model mainly focuses on the quantitati...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/5569108 |
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| _version_ | 1832561590070673408 |
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| author | Sheng-Yuan Wang Wan-Ming Chen Rong Wang Xiao-Lan Wu |
| author_facet | Sheng-Yuan Wang Wan-Ming Chen Rong Wang Xiao-Lan Wu |
| author_sort | Sheng-Yuan Wang |
| collection | DOAJ |
| description | The collaborative evaluation of enterprise innovation populations is a hot issue. The Lotka–Volterra model is a mature method used to evaluate the interaction mechanism of populations and is widely used in innovation ecology research studies. The Lotka–Volterra model mainly focuses on the quantitative characteristics of the interactive populations. The growth mechanisms cannot explain all the synergy mechanisms of the innovative populations. The collaborative evaluation between enterprise innovation populations is a typical multiobjective evaluation problem. The multichoice goal programming model is a mature method to solve multiobjective optimization problems. This paper combines the Lotka–Volterra model and multichoice goal programming method to construct a three-stage multiobjective collaboration evaluation method based on Lotka–Volterra equilibrium. An evaluation example is used to illustrate the application process of this method. The method proposed in this paper has excellent performance in computing, parameter sensitivity analysis, and model stability analysis. |
| format | Article |
| id | doaj-art-c03f23c20ed04b43bc2364ab2ca06431 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-c03f23c20ed04b43bc2364ab2ca064312025-02-03T01:24:41ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/55691085569108Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra EquilibriumSheng-Yuan Wang0Wan-Ming Chen1Rong Wang2Xiao-Lan Wu3College of Economics and Management, Nanjing University of Aeronautics & Astronautics, Nanjing, Jiangsu 210016, ChinaCollege of Economics and Management, Nanjing University of Aeronautics & Astronautics, Nanjing, Jiangsu 210016, ChinaBusiness School, Nanjing Xiaozhuang University, Nanjing, Jiangsu 211171, ChinaBusiness School, Nanjing Xiaozhuang University, Nanjing, Jiangsu 211171, ChinaThe collaborative evaluation of enterprise innovation populations is a hot issue. The Lotka–Volterra model is a mature method used to evaluate the interaction mechanism of populations and is widely used in innovation ecology research studies. The Lotka–Volterra model mainly focuses on the quantitative characteristics of the interactive populations. The growth mechanisms cannot explain all the synergy mechanisms of the innovative populations. The collaborative evaluation between enterprise innovation populations is a typical multiobjective evaluation problem. The multichoice goal programming model is a mature method to solve multiobjective optimization problems. This paper combines the Lotka–Volterra model and multichoice goal programming method to construct a three-stage multiobjective collaboration evaluation method based on Lotka–Volterra equilibrium. An evaluation example is used to illustrate the application process of this method. The method proposed in this paper has excellent performance in computing, parameter sensitivity analysis, and model stability analysis.http://dx.doi.org/10.1155/2021/5569108 |
| spellingShingle | Sheng-Yuan Wang Wan-Ming Chen Rong Wang Xiao-Lan Wu Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium Discrete Dynamics in Nature and Society |
| title | Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium |
| title_full | Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium |
| title_fullStr | Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium |
| title_full_unstemmed | Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium |
| title_short | Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium |
| title_sort | multiobjective evaluation of coevolution among innovation populations based on lotka volterra equilibrium |
| url | http://dx.doi.org/10.1155/2021/5569108 |
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