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Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium

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  • Sheng-Yuan Wang
  • Wan-Ming Chen
  • Rong Wang
  • Xiao-Lan Wu
  • Maria Alessandra Ragusa

Abstract

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.

Suggested Citation

  • Sheng-Yuan Wang & Wan-Ming Chen & Rong Wang & Xiao-Lan Wu & Maria Alessandra Ragusa, 2021. "Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, June.
  • Handle: RePEc:hin:jnddns:5569108
    DOI: 10.1155/2021/5569108
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    Cited by:

    1. Xiaolan Wu & Shengyuan Wang, 2022. "Assessment of Enterprise Life Cycle Based on Two-Stage Logistic Model: Exemplified by China’s Automobile Manufacturing Enterprises," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    2. Wanming Chen & Shengyuan Wang & Xiaolan Wu, 2022. "Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model," Sustainability, MDPI, vol. 14(24), pages 1-17, December.

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