Application of Ant Colony Optimization / / edited by Ali Soofastaei.

The application of advanced analytics in science and technology is rapidly expanding, and developing optimization technics is critical to this expansion. Instead of relying on dated procedures, researchers can reap greater rewards by utilizing cutting-edge optimization techniques like population-bas...

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TeilnehmendeR:
Place / Publishing House:London : : IntechOpen,, 2022.
©2022
Year of Publication:2022
Language:English
Physical Description:1 online resource (xi, 90 pages) :; illustrations
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spelling Application of Ant Colony Optimization / edited by Ali Soofastaei.
London : IntechOpen, 2022.
©2022
1 online resource (xi, 90 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on publisher supplied metadata and other sources.
The application of advanced analytics in science and technology is rapidly expanding, and developing optimization technics is critical to this expansion. Instead of relying on dated procedures, researchers can reap greater rewards by utilizing cutting-edge optimization techniques like population-based metaheuristic models, which can quickly generate a solution with acceptable quality. Ant Colony Optimization (ACO) is one the most critical and widely used models among heuristics and meta-heuristics. This book discusses ACO applications in Hybrid Electric Vehicles (HEVs), multi-robot systems, wireless multi-hop networks, and preventive, predictive maintenance.
Includes bibliographical references.
Mathematical models.
Ant algorithms.
1-83968-178-0
Soofastaei, Ali, editor.
language English
format eBook
author2 Soofastaei, Ali,
author_facet Soofastaei, Ali,
author2_variant a s as
author2_role TeilnehmendeR
title Application of Ant Colony Optimization /
spellingShingle Application of Ant Colony Optimization /
title_full Application of Ant Colony Optimization / edited by Ali Soofastaei.
title_fullStr Application of Ant Colony Optimization / edited by Ali Soofastaei.
title_full_unstemmed Application of Ant Colony Optimization / edited by Ali Soofastaei.
title_auth Application of Ant Colony Optimization /
title_new Application of Ant Colony Optimization /
title_sort application of ant colony optimization /
publisher IntechOpen,
publishDate 2022
physical 1 online resource (xi, 90 pages) : illustrations
isbn 1-83968-178-0
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA401
callnumber-sort QA 3401 A675 42022
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 511 - General principles of mathematics
dewey-full 511.8
dewey-sort 3511.8
dewey-raw 511.8
dewey-search 511.8
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