Bat Algorithm: Literature Review and Applications

Bat algorithm (BA) is a bio-inspired algorithm developed by Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last 3 years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case studies are also reviewed and summarized briefly here. Further research topics are also discussed.Comment: 10 page

A Budget-constrained Time and Reliability Optimization BAT Algorithm for Scheduling Workflow Applications in Clouds

AbstractEffective scheduling is one of the key concerns while executing workflows in the cloud environment. Workflow scheduling in clouds refers to the mapping of workflow tasks to the cloud resources to optimize some objective function. In this paper, we apply a recently developed meta-heuristic method called the BAT algorithm to solve the multi-objective problem of workflow scheduling in clouds that minimizes the execution time and maximizes the reliability by keeping the budget within user specified limit. Comparison of the results is made with basic, randomized, evolutionary algorithm (BREA) that uses greedy approach to allocate resources to the workflow tasks on the basis of low cost, high reliability and improved execution time machines. It is clear from the experimental results that the BAT algorithm performs better than the basic randomized evolutionary algorithm