Editing Metaheuristic (section)

=== Nature-inspired and metaphor-based metaheuristics ===
{{main|Swarm intelligence|List of metaphor-inspired metaheuristics}}
A very active area of research is the design of nature-inspired metaheuristics. Many recent metaheuristics, especially evolutionary computation-based algorithms, are inspired by natural systems. Nature acts as a source of concepts, mechanisms and principles for designing of artificial computing systems to deal with complex computational problems. Such metaheuristics include [[simulated annealing]], [[evolutionary algorithms]], [[ant colony optimization]] and [[particle swarm optimization]]. 

A large number of more recent metaphor-inspired metaheuristics have started to [[List of metaphor-inspired metaheuristics#Criticism|attract criticism in the research community]] for hiding their lack of novelty behind an elaborate metaphor.<ref name="Sörensen2013" /><ref name=":3" /><ref name=":4" /><ref>{{Citation |last=Lones |first=Michael A. |title=Metaheuristics in nature-inspired algorithms |date=2014 |work=Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation (GECCO'14) |publisher=ACM |isbn=978-1-4503-2881-4 |editor-last=Igel |editor-first=Christian |series=ACM Conferences |location=New York, NY |pages=1419–1422 |language=en |doi=10.1145/2598394.2609841}}</ref> As a result, a number of renowned scientists of the field have proposed a research agenda for the standardization of metaheuristics in order to make them more comparable, among other things.<ref>{{cite web |last1=Swan |first1=Jerry |last2=Adriaensen |first2=Steven |last3=Bishr |first3=Mohamed |last4=Burke |first4=Edmund K. |last5=Clark |first5=John A. |last6=De Causmaecke |first6=Patrick |last7=Durillo |first7=Juan José |last8=Hammond |first8=Kevin |last9=Hart |first9=Emma |last10=Johnson |first10=Colin G. |last11=Kocsis |first11=Zoltan A. |last12=Kovitz |first12=Ben |last13=Krawiec |first13=Krzysztof |last14=Martin |first14=Simon |last15=Merelo |first15=Juan J. |date=2015 |title=A Research Agenda for Metaheuristic Standardization |url=http://www.cs.nott.ac.uk/~exo/docs/publications/research-agenda-metaheuristic.pdf |access-date=2024-08-30 |website=Semantic Scholar |first16=Leandro L. |last16=Minku |first17=Ender |last17=Özcan |first18=Gisele Lobo |last18=Pappa |first19=Erwin |last19=Pesch |first20=Pablo |last20=García-Sánchez |first21=Andrea |last21=Schaerf |first22=Kevin |last22=Sim |first23=Jim |last23=Smith |first24=Thomas |last24=Stützle |first25=Stefan |last25=Wagner |s2cid=63728283}}</ref> Another consequence is that the publication guidelines of a number of scientific journals have been adapted accordingly.<ref>{{Cite web |title=Journal of Heuristic Policies on Heuristic Search Research |url=https://link.springer.com/journal/10732/submission-guidelines |archive-url=https://web.archive.org/web/20170709034524/https://www.springer.com/cda/content/document/cda_downloaddocument/Journal+of+Heuristic+Policies+on+Heuristic+Search.pdf?SGWID=0-0-45-1483502-p35487524 |archive-date=2017-07-09 |access-date=2024-09-01 |website=Journal of Heuristics - Submission guidelines}}</ref><ref>{{Cite web |title=Aims and scope |url=https://link.springer.com/journal/10288/aims-and-scope |access-date=2024-09-01 |website=4OR}}</ref><ref>{{Cite web |title=Aims and scope |url=https://link.springer.com/journal/12293/aims-and-scope |access-date=2024-09-01 |website=Memetic Computing}}</ref>