NDLI: Fish School Search Algorithm

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Fish School Search Algorithm

Content Provider	Scilit
Author	Vasuki, A.
Copyright Year	2020
Description	Swarm behavior is collective and coordinated activity by a group of similar entities, normally exhibited by animals, birds, and insects. When the animals, birds, or insects stay together in a neighborhood, move together while foraging for food or migrating, and interact with each other in exchanging information, it is swarm intelligence and behavior. Swarm intelligence is the collective intelligence exhibited by a group of animals, birds, or insects that has a social organization and hierarchy. They exhibit individual as well as group dynamics that are for the benefit of the entire swarm as a whole. The members of the swarm interact with each other and with the environment in their everyday activities. The population-based search algorithms are based on these behaviors of swarms. The search for the optimum is undertaken in parallel by several agents in the multidimensional search space. Metaheuristics is another component that makes these algorithms efficient because heuristics simplifies the search to some extent. Book Name: Nature-Inspired Optimization Algorithms
Related Links	https://content.taylorfrancis.com/books/download?dac=C2019-0-98738-8&isbn=9780429289071&doi=10.1201/9780429289071-10&format=pdf
Ending Page	142
Page Count	12
Starting Page	131
DOI	10.1201/9780429289071-10
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-05-31
Access Restriction	Open
Subject Keyword	Book Name: Nature-Inspired Optimization Algorithms Cybernetical Science Swarm Intelligence Search Algorithms Swarm Behavior
Content Type	Text
Resource Type	Chapter

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