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Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

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Published in:CAAI Transactions on Intelligence Technology
Format: Online Article RSS Article
Published: 2026
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container_title CAAI Transactions on Intelligence Technology
description
discipline_display Artificial Intelligence
discipline_facet Artificial Intelligence
format Online Article
RSS Article
genre Journal Article
id rss_article:83260
institution FRELIP
journal_source_facet CAAI Transactions on Intelligence Technology
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
Artificial Intelligence
General
Artificial Intelligence
sub_discipline_display General
sub_discipline_facet General
subject_display Artificial Intelligence
General
Artificial Intelligence
Artificial Intelligence
General
Artificial Intelligence
subject_facet Artificial Intelligence
General
Artificial Intelligence
title Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
title_auth Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
title_full Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
title_fullStr Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
title_full_unstemmed Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
title_short Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
title_sort bio‐inspired optimisation methods applied to low carbon power and energy problems: a survey
topic Artificial Intelligence
General
Artificial Intelligence
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.70069?af=R