Evolutionary design of engagement strategies for turn-constrained agents
Evolutionary design of engagement strategies for turn-constrained agents
复制标题
回合受限智能体参与策略的进化设计
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Zachariah E. Fuchs
中科院分区：
文献类型：
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作者：
Pavlos Androulakakis;Zachariah E. Fuchs
我们研究了使用进化算法来设计用于双重追击-躲避问题的反馈控制器。 In this problem, two players, Player A and Player B, move about an obstacle-free, two-dimensional plane with constant speeds and bounded turn rates.玩家 A 试图通过在规定的捕获距离内移动并靠近来捕获玩家 B。同时，玩家 B 试图捕获玩家 A，同时避免自己被捕获。 Although the general form of this problem is two-sided, we examine the design of strategies for Player A against a collection of possible adversarial strategies implemented by Player B. We pose a nearest neighbor switching control structure that is represented using a parameterized matrix. An evolutionary algorithm is utilized to evolve these parameters in order to develop a feedback controller for Player A to efficiently capture Player B while evading capture itself.
We examine the use of an evolutionary algorithm to design a feedback controller for a dual pursuit-evasion problem. In this problem, two players, Player A and Player B, move about an obstacle-free, two-dimensional plane with constant speeds and bounded turn rates. Player A strives to capture Player B by maneuvering behind and closing within a defined capture distance. Simultaneously, Player B is attempting to capture Player A while avoiding being captured itself. Although the general form of this problem is two-sided, we examine the design of strategies for Player A against a collection of possible adversarial strategies implemented by Player B. We pose a nearest neighbor switching control structure that is represented using a parameterized matrix. An evolutionary algorithm is utilized to evolve these parameters in order to develop a feedback controller for Player A to efficiently capture Player B while evading capture itself.