DYNAMIC GAMES AND APPLICATIONS 致力于开发各类动态博弈，即微分博弈、离散时间动态博弈、进化博弈、重复和随机博弈及其在各个领域的应用

Dynamic Games and Applications focuses on the development of various dynamic games, including differential games, discrete-time dynamic games, evolutionary games, repeated games, and stochastic games, along with their applications in various fields.

《Dynamic Games and Applications》致力于研究各种动态博弈，包括微分博弈、离散时间动态博弈、进化博弈、重复博弈和随机博弈，以及这些博弈在各个领域的应用。

Dynamic Games and Applications

Arka Mukherjee

Satyaveer S. Chauhan

Dyn Games Appl

Dynamic Pricing and Advertising Decisions to Mitigate the Negative Spillover Effect of a Product Recall

产品召回负面溢出效应的动态定价与广告决策

Sergey S. Kumkov

Stéphane Le Ménec

Valerii S. Patsko

Zero-Sum Pursuit-Evasion Differential Games with Many Objects: Survey of Publications

多目标零和追逃微分博弈：文献综述

Wenbo Chen

Peng Liu

Hua Gong

Pursuit-Evasion Game Model-Based Mobile Edge Computing System for Efficient Task Scheduling in a Dynamic Environment

基于追逃博弈模型的移动边缘计算系统在动态环境中的高效任务调度

Abstract We present a game-theoretic model of a polymorphic cancer cell population where the treatment-induced resistance is a quantitative evolving trait. When stabilization of the tumor burden is possible, we expand the model into a Stackelberg evolutionary game, where the physician is the leader and the cancer cells are followers. The physician chooses a treatment dose to maximize an objective function that is a proxy of the patient’s quality of life. In response, the cancer cells evolve a resistance level that maximizes their proliferation and survival. Assuming that cancer is in its ecological equilibrium, we compare the outcomes of three different treatment strategies: giving the maximum tolerable dose throughout, corresponding to the standard of care for most metastatic cancers, an ecologically enlightened therapy, where the physician anticipates the short-run, ecological response of cancer cells to their treatment, but not the evolution of resistance to treatment, and an evolutionarily enlightened therapy, where the physician anticipates both ecological and evolutionary consequences of the treatment. Of the three therapeutic strategies, the evolutionarily enlightened therapy leads to the highest values of the objective function, the lowest treatment dose, and the lowest treatment-induced resistance. Conversely, in our model, the maximum tolerable dose leads to the worst values of the objective function, the highest treatment dose, and the highest treatment-induced resistance.

Monica Salvioli

Hasti Garjani

Mohammadreza Satouri

Mark Broom

Yannick Viossat

Joel S. Brown

Johan Dubbeldam

Kateřina Staňková

Stackelberg Evolutionary Games of Cancer Treatment: What Treatment Strategy to Choose if Cancer Can be Stabilized?

癌症治疗的斯塔克尔伯格演化博弈：如果癌症能被稳定，应选择何种治疗策略？

Saad Alahmari

Anas A. Salameh

Nisreen Innab

Wejdan Deebani

Fahad M. Alhomayani

Meshal Shutaywi

Mohamed E. Ghoneim

Hybrid Bio Inspired-Based Optimized Neural Network for Real-Time Evasion of Multi-Robot Systems in Dynamic Environments

混合生物启发式优化神经网络在动态环境中实现多机器人系统的实时规避

Mathias Oster

Luca Saluzzi

Tizian Wenzel

A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control

监督学习技术在高维函数逼近与反馈控制中的比较研究

Vikash Kumar Dubey

Suman Chakraborty

Sagar Chakraborty

Oscillatory Equilibrium in Asymmetric Evolutionary Games: Generalizing Evolutionarily Stable Strategy

非对称进化博弈中的振荡平衡：推广进化稳定策略

Abbreviation	Dyn Games Appl
Journal Impact	1.65
Quartiles(Global)	MATHEMATICS, INTERDISCIPLINARY APPLICATIONS(Q2)

ISSN	2153-0785, 2153-0793
h-index	29

Publication Information	Publisher: Springer Science + Business Media，Publishing cycle: 4 issues per year，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2011，Proportion of original research papers: 98.41%，Self Citation Rate:22.20%， Gold OA Rate: 27.85%

Dynamic Games and Applications

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Dynamic Pricing and Advertising Decisions to Mitigate the Negative Spillover Effect of a Product Recall

Zero-Sum Pursuit-Evasion Differential Games with Many Objects: Survey of Publications

Pursuit-Evasion Game Model-Based Mobile Edge Computing System for Efficient Task Scheduling in a Dynamic Environment

Stackelberg Evolutionary Games of Cancer Treatment: What Treatment Strategy to Choose if Cancer Can be Stabilized?

Hybrid Bio Inspired-Based Optimized Neural Network for Real-Time Evasion of Multi-Robot Systems in Dynamic Environments

Pursuit-Evasion Game Model-Based Mobile Edge Computing System for Efficient Task Scheduling in a Dynamic Environment

Stackelberg Evolutionary Games of Cancer Treatment: What Treatment Strategy to Choose if Cancer Can be Stabilized?

Hybrid Bio Inspired-Based Optimized Neural Network for Real-Time Evasion of Multi-Robot Systems in Dynamic Environments

A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control

Oscillatory Equilibrium in Asymmetric Evolutionary Games: Generalizing Evolutionarily Stable Strategy