Nature Inspired Optimizers
Posted: 19 Apr 2019
Date Written: April 16, 2019
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
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