A Game Theory-based Development Planning Approach for Weapon System-of-Systems

被引:0
作者
Xiong, Weitao [1 ]
Ge, Bingfeng [1 ]
Zhao, Qingsong [1 ]
Yang, Kewei [1 ]
机构
[1] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China
来源
2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2017年
基金
中国国家自然科学基金;
关键词
weapons SoS; planning approach; game theory; network model; CEA; RESOURCE-ALLOCATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A development planning approach combining game theory and network model is proposed to address the strategy selection and evolution for weapons system-of-systems (WSoS) characterized by an iterative and competitive development process between countries. More specifically, the development planning framework, including game player, strategy definition, and constraints (e.g., time and money), is first described, in which combat network is constructed to present the structure and evolution of WSoS. Next, the selection process of development planning strategy is studied based on damage accumulation and mitigation related to WSoS confrontation. Then, a competitive coevolution algorithm (CEA), reflecting that WSoS evolves along with the strategy selection change, is designed to find the optimal development strategy. Last, an illustrative example is used to demonstrate the feasibility and validity of the proposed approach.
引用
收藏
页码:1286 / 1291
页数:6
相关论文
共 11 条
  • [1] A fast and elitist multiobjective genetic algorithm: NSGA-II
    Deb, K
    Pratap, A
    Agarwal, S
    Meyarivan, T
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) : 182 - 197
  • [2] Multiobjective Optimization using Genetic Programming: Reducing Selection Pressure by Approximate Dominance
    Elkasaby, Ayman
    Salah, Akram
    Elfeky, Ehab
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS (ICORES), 2017, : 424 - 429
  • [3] Fonseca C., 2014, EVOL COMPUT, P1
  • [4] Resource Allocation in an Asymmetric Technology Race with Temporary Advantages
    Golany, Boaz
    Kress, Moshe
    Penn, Michal
    Rothblum, Uriel G.
    [J]. NAVAL RESEARCH LOGISTICS, 2012, 59 (02) : 128 - 145
  • [5] Network Optimization Models for Resource Allocation in Developing Military Countermeasures
    Golany, Boaz
    Kress, Moshe
    Penn, Michal
    Rothblum, Uriel G.
    [J]. OPERATIONS RESEARCH, 2012, 60 (01) : 48 - 63
  • [6] Kojima K., 2007, INT J COMPUTATIONAL, V105
  • [7] Billiard Combat Modeling and Simulation Based on Optimal Cue Placement Control and Strategic Planning
    Shih, Chihhsiong
    Koong, Chorng-Shiuh
    Hsiung, Pao-Ann
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2012, 67 (01) : 25 - 41
  • [8] An OODA Loop-Based Function Network Modeling and Simulation Evaluation Method for Combat System-of-Systems
    Shu, Zhe
    Jia, Quan
    Li, Xiaobo
    Wang, Weiping
    [J]. THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT II, 2016, 644 : 393 - 402
  • [9] TAN Y J, 2012, Journal of Systems & Management, V21, P781
  • [10] Modeling costly learning and counter-learning in a defender-attacker game with private defender information
    Xu, Jie
    Zhuang, Jun
    [J]. ANNALS OF OPERATIONS RESEARCH, 2016, 236 (01) : 271 - 289