A novel Orca Cultural Algorithm and applications
In this article, the paradigm of machine culture as an extension to machine intelligence is introduced. This new concept is modelled based on animal intelligence and culture. The example of orca intelligence and culture is considered as orcas possess in addition to skills allowing them to reach prey...
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2023
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Online Access: | https://hdl.handle.net/10281/506741 https://doi.org/10.1111/exsy.12928 |
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ftunivmilanobic:oai:boa.unimib.it:10281/506741 2024-09-30T14:40:54+00:00 A novel Orca Cultural Algorithm and applications Drias H. Drias Y. Khennak I. Drias, H Drias, Y Khennak, I 2023 STAMPA https://hdl.handle.net/10281/506741 https://doi.org/10.1111/exsy.12928 eng eng John Wiley and Sons Inc country:GB info:eu-repo/semantics/altIdentifier/wos/WOS:000738313000001 volume:40 issue:1 journal:EXPERT SYSTEMS https://hdl.handle.net/10281/506741 doi:10.1111/exsy.12928 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85122253091 info:eu-repo/semantics/closedAccess echolocation hunting technique machine culture Orca Cultural Algorithm social organization swarm intelligence info:eu-repo/semantics/article 2023 ftunivmilanobic https://doi.org/10.1111/exsy.12928 2024-09-03T23:43:53Z In this article, the paradigm of machine culture as an extension to machine intelligence is introduced. This new concept is modelled based on animal intelligence and culture. The example of orca intelligence and culture is considered as orcas possess in addition to skills allowing them to reach preys, the ability to transmit their culture from generation to generation. The orca intelligence is studied and then simulated to design an algorithm called Orca Algorithm (OA). OA consists in modelling the orca lifestyle and in particular the orcas social organization, echolocation behaviour and hunting techniques. In order to integrate the cultural dimension, OA was hybridized with the Cultural Algorithm (CA) to get an algorithm called Orca Cultural Algorithm (OCA). OCA was tested on 22 benchmark problems of the literature to evaluate its performance. Extensive experiments were first performed to set the algorithm parameters prior to measure its effectiveness and efficiency. In a second stage, OCA was adapted to discrete problems and applied to the maze game with four level of complexity. Additional experiments were held to compare the designed algorithm with recent state-of-the-art evolutionary algorithms. The overall obtained results are very promising. Article in Journal/Newspaper Orca Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive) Expert Systems 40 1 |
institution |
Open Polar |
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Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive) |
op_collection_id |
ftunivmilanobic |
language |
English |
topic |
echolocation hunting technique machine culture Orca Cultural Algorithm social organization swarm intelligence |
spellingShingle |
echolocation hunting technique machine culture Orca Cultural Algorithm social organization swarm intelligence Drias H. Drias Y. Khennak I. A novel Orca Cultural Algorithm and applications |
topic_facet |
echolocation hunting technique machine culture Orca Cultural Algorithm social organization swarm intelligence |
description |
In this article, the paradigm of machine culture as an extension to machine intelligence is introduced. This new concept is modelled based on animal intelligence and culture. The example of orca intelligence and culture is considered as orcas possess in addition to skills allowing them to reach preys, the ability to transmit their culture from generation to generation. The orca intelligence is studied and then simulated to design an algorithm called Orca Algorithm (OA). OA consists in modelling the orca lifestyle and in particular the orcas social organization, echolocation behaviour and hunting techniques. In order to integrate the cultural dimension, OA was hybridized with the Cultural Algorithm (CA) to get an algorithm called Orca Cultural Algorithm (OCA). OCA was tested on 22 benchmark problems of the literature to evaluate its performance. Extensive experiments were first performed to set the algorithm parameters prior to measure its effectiveness and efficiency. In a second stage, OCA was adapted to discrete problems and applied to the maze game with four level of complexity. Additional experiments were held to compare the designed algorithm with recent state-of-the-art evolutionary algorithms. The overall obtained results are very promising. |
author2 |
Drias, H Drias, Y Khennak, I |
format |
Article in Journal/Newspaper |
author |
Drias H. Drias Y. Khennak I. |
author_facet |
Drias H. Drias Y. Khennak I. |
author_sort |
Drias H. |
title |
A novel Orca Cultural Algorithm and applications |
title_short |
A novel Orca Cultural Algorithm and applications |
title_full |
A novel Orca Cultural Algorithm and applications |
title_fullStr |
A novel Orca Cultural Algorithm and applications |
title_full_unstemmed |
A novel Orca Cultural Algorithm and applications |
title_sort |
novel orca cultural algorithm and applications |
publisher |
John Wiley and Sons Inc |
publishDate |
2023 |
url |
https://hdl.handle.net/10281/506741 https://doi.org/10.1111/exsy.12928 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000738313000001 volume:40 issue:1 journal:EXPERT SYSTEMS https://hdl.handle.net/10281/506741 doi:10.1111/exsy.12928 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85122253091 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1111/exsy.12928 |
container_title |
Expert Systems |
container_volume |
40 |
container_issue |
1 |
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1811643365551243264 |