A Literature Survey on Artificial Swarm Intelligence based Optimization Techniques

Authors

  • Mr. Gireesha. B
  • . .

DOI:

https://doi.org/10.14419/ijet.v7i4.5.20205

Published:

2018-09-22

Keywords:

Optimizations Techniques (OT), Artificial Intelligence, Artificial Bee Colony (ABC) Algorithm, Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Firefly Algorithm (FFA), Fitness functions.

Abstract

From few decades’ optimizations techniques plays a key role in engineering and technological field applications. They are known for their behaviour pattern for solving modern engineering problems. Among various optimization techniques, heuristic and meta-heuristic algorithms proved to be efficient. In this paper, an effort is made to address techniques that are commonly used in engineering applications. This paper presents a basic overview of such optimization algorithms namely Artificial Bee Colony (ABC) Algorithm, Ant Colony Optimization (ACO) Algorithm, Fire-fly Algorithm (FFA) and Particle Swarm Optimization (PSO) is presented and also the most suitable fitness functions and its numerical expressions have discussed.

 

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How to Cite

Gireesha. B, M., & ., . (2018). A Literature Survey on Artificial Swarm Intelligence based Optimization Techniques. International Journal of Engineering & Technology, 7(4.5), 455–458. https://doi.org/10.14419/ijet.v7i4.5.20205

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Received 2018-09-24
Accepted 2018-09-24
Published 2018-09-22