Nature Inspired Optimizers

Posted: 19 Apr 2019

See all articles by Arvind Upadhyay

Arvind Upadhyay

Institute of Engineering and science, IPSA, Indore

Ramesh Thakur

Institute of Engineering and Technology Devi Ahilya University

Archana Thakur

Institute of Engineering and Technology Devi Ahilya University

Date Written: April 16, 2019

Abstract

Many important real world problems are computationally “hard” and one of those is cloud scheduling. There are various approaches to cloud scheduling, but in recent time scheduling strategies based on heuristics and metaheuristics are gaining popularity because of their performance. Especially important metaheuristics are nature inspired metaheuristics which have been proved to be very efficient in solving hard problems. These metaheuristics are inspired by natural phenomenon and simulate them in an algorithmic manner. In this paper, we describe those methods and present their successful applications in cloud scheduling problem. We will also describe the formal statement of the problem so that a reader can directly correlate the algorithms with applications. Moreover we had also implemented promising, nature inspired algorithms to perform the research for binary support vector machine optimization.

Keywords: Nature Inspired Algorithms; Optimization; Genetic Algorithm; Cuckoo Search Optimization; Particle Swarm Optimization; Ant Colony Optimization; Cloud Scheduling Problem

Suggested Citation

Upadhyay, Arvind and Thakur, Ramesh and Thakur, Archana, Nature Inspired Optimizers (April 16, 2019). Proceedings of Recent Advances in Interdisciplinary Trends in Engineering & Applications (RAITEA) 2019. Available at SSRN: https://ssrn.com/abstract=3372972

Arvind Upadhyay (Contact Author)

Institute of Engineering and science, IPSA, Indore ( email )

Institute of Engineering & Science,IPS Academy Kno
Indore, 452012
India

Ramesh Thakur

Institute of Engineering and Technology Devi Ahilya University ( email )

Indore, 452001
India

Archana Thakur

Institute of Engineering and Technology Devi Ahilya University ( email )

Indore, 452001
India

Register to save articles to
your library

Register

Paper statistics

Abstract Views
28
PlumX Metrics