Evolutionary Multi-Agent System in Planning of Marine Trajectories

被引：0

作者：

Gawel, Maciej ^{[1
]}

Jakubek, Tomasz ^{[1
]}

Byrski, Aleksander ^{[1
]}

Kisiel-Dorohinicki, Marek ^{[1
]}

Pietak, Kamil ^{[1
]}

Hernandez, Daniel ^{[2
]}

机构：

[1] AGH Univ Sci & Technol, Dept Comp Sci, Al Mickiewicza 30, PL-30059 Krakow, Poland

[2] Univ Las Palmas Gran Canaria, Comp Sci & Syst Dept, SIANI Res Inst, Las Palmas Gran Canaria 35017, Spain

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2018, PT I | 2018年 / 11055卷

关键词：

D O I：

10.1007/978-3-319-98443-8_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper considers application of agent-based computing system, namely Evolutionary Multi-Agent System, to solving a difficult yet interesting problem of a marine glider path planning. Different version of mutations are compared both for EMAS and evolutionary algorithm parametrized in the most possibly similar manner to EMAS and the observed results show that the EMAS is better in most of the experiments.

引用

页码：319 / 328

页数：10

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