A Literature Survey on Artificial Swarm Intelligence based Optimization Techniques

Authors

  • Mr. Gireesha. B

  • . .

Received date: September 24, 2018

Accepted date: September 24, 2018

Published date: September 22, 2018

DOI:

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

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 and Technology, 7(4.5), 455-458. https://doi.org/10.14419/ijet.v7i4.5.20205

Received date: September 24, 2018

Accepted date: September 24, 2018

Published date: September 22, 2018