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== History ==
The development of soft computing dates back to the late 20th century. In 1965, [[Lotfi A. Zadeh|Lotfi Zadeh]] introduced fuzzy logic, which laid the mathematical groundwork for soft computing. Between the 1960s and 1970s, evolutionary computation, the development of [[genetic algorithm]]s that mimicked biological processes, began to emerge. These models carved the path for models to start handling uncertainty. Although neural network research began in the 1940s and 1950s, there was a new demand for research in the 1980s. Researchers invested time to develop models for [[pattern recognition]]. Between the 1980s and 1990s, hybrid intelligence systems merged fuzzy logic, neural networks, and evolutionary computation that solved complicated problems quickly. From the 1990s to the present day, Models have been instrumental and affect multiple fields handling [[big data]], including engineering, medicine, social sciences, and finance.<ref>Chaturvedi, Devendra K. "Soft computing." Studies in Computational intelligence 103 (2008): 509-612.</ref><ref name=":0">{{Cite book |last1=Ram |first1=Mangey |url=https://books.google.com/books?id=qjL3DwAAQBAJ&dq=history%20of%20soft%20computing&pg=PA74 |title=Advanced Mathematical Techniques in Engineering Sciences |last2=Davim |first2=J. Paulo |date=2018-05-04 |publisher=CRC Press |isbn=978-1-351-37189-6 |language=en}}</ref>
all are done by computer
== Computational techniques ==
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