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An Energy and Fuel-effective Solution for School Exploration of a Fishing Vessel Through Swarm Intelligence Approach
Author(s) -
Erhan Sesli
Publication year - 2022
Publication title -
journal of eta maritime science
Language(s) - English
Resource type - Journals
eISSN - 2148-9386
pISSN - 2147-2955
DOI - 10.4274/jems.2022.38247
Subject(s) - fishing , fish <actinopterygii> , fishery , swarm behaviour , process (computing) , fuel efficiency , swarm intelligence , computer science , engineering , artificial intelligence , particle swarm optimization , automotive engineering , algorithm , biology , operating system

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