Abstract
A swarm is a large number of homogeneous, uncomplicated agents collaborating locally among themselves, and their circumstances, with no central control to allow a global interesting behaviour to emerge. Swarm based algorithms are nature inspired, population based algorithms that are clever in producing optimal solution for several complex and combinatorial problems. In the pharmaceutical industry, the product and other process development problems usually involve a numerous of independent variables and it incorporated with multiple constraints. To solve problems related to pharmaceutical industry requires accurate result and it's very hard to solve using traditional method. Swarm based intelligence technique is a collection of knowledge based algorithms which having capable of solving complex problems and can obtain optimal or accurate solution. This paper discusses swarm based intelligent algorithms to solve different pharmaceutical field related complex problems such as drug design, pharmacovigilance, alignment of sequence etc.
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CITATION STYLE
J, R., & K, K. (2017). APPLICATIONS OF SWARM BASED INTELLIGENCE ALGORITHM IN PHARMACEUTICAL INDUSTRY: A REVIEW. International Research Journal of Pharmacy, 8(11), 24–27. https://doi.org/10.7897/2230-8407.0811212
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