Integration of N-GCPSO Algorithm with Spatial Particle Extension Algorithm for Multi-Robot Search

机译：N-GCPSO算法与空间粒子扩展算法的集成，用于多机器人搜索

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来源
《International Conference on Smart Technology and Applications》|2020年|1-4|共4页
会议地点 Surabaya(ID)
作者
Hafidlotul F. Ahmad; Medria K. D. Hardhienata; Karlisa Priandana;
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作者单位

IPB University Computer Science Department Bogor Indonesia;

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原文格式 PDF
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关键词
multi-robot search; robotic parameters; spatial particle extension; particle swarm optimization;

机译：多机器人搜索;机器人参数空间粒子扩展粒子群优化;

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2. Optimal Multi-robot Path Planning Using Particle Swarm Optimization Algorithm Improved by Sine and Cosine Algorithms [J] . H.K.Paikray, P.K.Das, S.Panda Arabian Journal for Science and Engineering . 2021,第4期

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4. Integration of N-GCPSO Algorithm with Spatial Particle Extension Algorithm for Multi-Robot Search [C] . Hafidlotul F. Ahmad, Medria K. D. Hardhienata, Karlisa Priandana International Conference on Smart Technology and Applications . 2020

机译：用于多机器人搜索的空间粒子扩展算法的N-GCPSO算法的集成
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6. The Successive Projection Algorithm (SPA) an Algorithm with a Spatial Constraint for the Automatic Search of Endmembers in Hyperspectral Data [O] . Jinkai Zhang, Benoit Rivard, D.M. Rogge 2008

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Integration of N-GCPSO Algorithm with Spatial Particle Extension Algorithm for Multi-Robot Search

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