APPLICATIONS OF SWARM BASED INTELLIGENCE ALGORITHM IN PHARMACEUTICAL INDUSTRY: A REVIEW

Authors

  • Rajeshkumar J Author
  • Kousalya K Author

Keywords:

Swarm Intelligence, Pharmaceutical Industry, Optimization Algorithms, Combinatorial Problems, Pharmacovigilance

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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Published

21-11-2024

How to Cite

APPLICATIONS OF SWARM BASED INTELLIGENCE ALGORITHM IN PHARMACEUTICAL INDUSTRY: A REVIEW. (2024). International Research Journal of Pharmacy, 8(11), 48-51. https://irjponline.org/index.php/irjp/article/view/968