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===Commercial products=== In the late 1980s, General Electric started selling the world's first genetic algorithm product, a mainframe-based toolkit designed for industrial processes.<ref>{{Cite book|url=https://books.google.com/books?id=-MszVdu_PAMC&q=general+electric+genetic+algorithm+mainframe|title=An Approach to Designing an Unmanned Helicopter Autopilot Using Genetic Algorithms and Simulated Annealing|last=Aldawoodi|first=Namir|year=2008|isbn=978-0549773498|pages=99|via=Google Books}}</ref>{{Circular reference|date=January 2021}} In 1989, Axcelis, Inc. released [[Evolver (software)|Evolver]], the world's first commercial GA product for desktop computers. [[The New York Times]] technology writer [[John Markoff]] wrote<ref>{{cite news|last=Markoff|first=John|title=What's the Best Answer? It's Survival of the Fittest|newspaper=New York Times|url=https://www.nytimes.com/1990/08/29/business/business-technology-what-s-the-best-answer-it-s-survival-of-the-fittest.html|access-date=2016-07-13|date=29 August 1990}}</ref> about Evolver in 1990, and it remained the only interactive commercial genetic algorithm until 1995.<ref>Ruggiero, Murray A.. (1 August 2009) [http://www.futuresmag.com/2009/08/01/fifteen-years-and-counting?t=technology&page=2 Fifteen years and counting] {{Webarchive|url=https://web.archive.org/web/20160130054823/http://www.futuresmag.com/2009/08/01/fifteen-years-and-counting?t=technology&page=2 |date=30 January 2016 }}. Futuresmag.com. Retrieved on 2013-08-07.</ref> Evolver was sold to Palisade in 1997, translated into several languages, and is currently in its 6th version.<ref>[http://www.palisade.com/evolver/ Evolver: Sophisticated Optimization for Spreadsheets]. Palisade. Retrieved on 2013-08-07.</ref> Since the 1990s, [[MATLAB]] has built in three [[derivative-free optimization]] heuristic algorithms (simulated annealing, particle swarm optimization, genetic algorithm) and two direct search algorithms (simplex search, pattern search).<ref>{{cite journal | doi=10.1109/ACCESS.2019.2923092 | title=Benchmarks for Evaluating Optimization Algorithms and Benchmarking MATLAB Derivative-Free Optimizers for Practitioners' Rapid Access | year=2019 | last1=Li | first1=Lin | last2=Saldivar | first2=Alfredo Alan Flores | last3=Bai | first3=Yun | last4=Chen | first4=Yi | last5=Liu | first5=Qunfeng | last6=Li | first6=Yun | journal=IEEE Access | volume=7 | pages=79657β79670 | s2cid=195774435 | doi-access=free | bibcode=2019IEEEA...779657L }}</ref>
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