Complex dynamics of Kopel model with nonsymmetric response between oligopolists

Li, Bo; Liang, Houjun; Shi, Lian; He, Qizhi

doi:10.1016/j.chaos.2022.111860

Cited by 80 publications

(28 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in Figures 7 and 8, we can see the distribution of chromosomes, orange represents 1, and white represents 0. Under the optimization model of the genetic algorithm we designed, we provide suitable raw material suppliers and forwarders for each cycle according to the needs of enterprises, reducing the impact of subjective factors, which is conducive to enterprises to quickly lock in upstream supply chain partners, reduce costs and costs, and meet the raw material needs of enterprises in various periods [38,39]. As shown in Figure 9, the genetic algebra used in the multiobjective genetic algorithm model we constructed is very small, with a maximum of no more than 50 generations.…”

Section: Genetic Strategiesmentioning

confidence: 99%

Intelligent Application of Raw Material Supply Chain Planning System Based on Genetic Algorithm

Zhang

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

For the ordering and transportation of raw materials of production enterprises, an intelligent supply chain planning system based on genetic algorithms has been researched and developed. Based on the consideration of multicycle and multiraw materials, by constructing a multiobjective function, taking into account the optimal supplier, the optimal economic ordering scheme, and the minimum loss transshipment scheme, an optimal supply planning model based on genetic algorithm is proposed, and the optimal supply chain combination of the next 24 cycles is predicted by using the model, and its applicability is verified. The study shows that the supply chain planning system has good operation convenience, fast, intuitive, practical application effect of the function and can adapt to modern intelligent logistics and transportation.

show abstract

Section: Genetic Strategiesmentioning

confidence: 99%

Intelligent Application of Raw Material Supply Chain Planning System Based on Genetic Algorithm

Zhang

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Useful information about the past and present of the disease has been reported, which is advantageous in establishing control strategies for its eradication from society. In this regard, valuable work can be found in [11,12,13,14,15,16]. The formation of a mathematical formula consists of conditions regarding the parameters involved in the problem under consideration.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of a fractional-order COVID-19 model under the nonsingular kernel of Caputo-Fabrizio operator

Ahmad

Qiu

Rahman

2022

mmnsa

View full text Add to dashboard Cite

For the sake of human health, it is crucial to investigate infectious diseases including HIV/AIDS, hepatitis, and others. Worldwide, the recently discovered new coronavirus (COVID-19) poses a serious threat. The experimental vaccination and different COVID-19 strains found around the world make the virus' spread unavoidable. In the current research, fractional order is used to study the dynamics of a nonlinear modified COVID-19 SEIR model in the framework of the Caputo-Fabrizio fractional operator with order b. Fixed point theory has been used to investigate the qualitative analysis of the solution respectively. The well-known Laplace transform method is used to determine the approximate solution of the proposed model. Using the COVID-19 data that is currently available, numerical simulations are run to validate the necessary scheme and examine the dynamic behavior of the various compartments of the model. In order to stop the pandemic from spreading, our findings highlight the significance of taking preventative steps and changing one's lifestyle.

show abstract

“…In the next subsection, one will find that the topological structure of the parameter space of Model 2 is much more complex than that of Model 1. For additional information regarding two-dimensional bifurcation diagrams, readers can refer to [13].…”

Section: Modelmentioning

confidence: 99%