# Balancer Genetic Algorithm--A Novel Task Scheduling Optimization Approach in Cloud Computing
#### 3.2.6 Bancer Operator
[CrossRef]
* [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] Genetic-based task scheduling algorithm in cloud computing environment. _Int. J. Adv. Comput. Sci. Appl._**2016**, \(7\), 550-556. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON] Load balance aware genetic algorithm for task scheduling in cloud computing. In Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning, Dunedin, New Zealand, 15-18 December 2014; pp. 644-655. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Efficient task allocation approach using genetic algorithm for cloud environment. _Clust. Comput._**2019**, _22_, 1241-1251. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Hybrid job scheduling algorithm for cloud computing environment. In Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014, Ostrava, Czech Republic, 23-25 June 2014; pp. 43-52. [CrossRef]
* [PERSON] and [PERSON] (2011) [PERSON]; [PERSON] Load balanced min-min algorithm for static meta-task scheduling in grid computing. _Int. J. Comput. Appl._**2011**, _20_, 43-49. [CrossRef]
* [PERSON] et al. (2018) [PERSON] [PERSON]; [PERSON]; [PERSON] Binary PSOGSA for Load Balancing Task Scheduling in Cloud Environment. _Int. J. Adv. Comput. Sci. Appl._**2018**. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON] Task scheduling using modified PSO algorithm in cloud computing environment. In Proceedings of the International Conference on Machine Learning, Electrical and Mechanical Engineering, Tomsk, Russia, 16-18 October 2014; Volume 4, pp. 8-12. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Comprehensive learning particle swarm optimization algorithm with local search for multimodal functions. _IEEE Trans. Evol. Comput._**2018**, _23_, 718-731. [CrossRef]
* [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] Symbiotic Organism Search optimization based task scheduling in cloud computing environment. _Future Gener. Comput. Syst._**2016**, _56_, 640-650. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] Using the TSP solution strategy for cloudlet scheduling in cloud computing. _J. Netw. Syst. Manag._**2019**, _27_, 366-387. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] An energy-efficient task scheduling algorithm for heterogeneous cloud computing systems. _Clust. Comput._**2019**, _22_, 509-527. [CrossRef]
* [PERSON] and [PERSON] (2014) [PERSON]; [PERSON] Scheduling of independent tasks in cloud computing using modified genetic algorithm. In Proceedings of the 2014 International Conference on Computational Intelligence and Communication Networks, Bhopal, India, 14-16 November 2014; pp. 565-569. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] [PERSON] Load Balancing using Improved Genetic Algorithm (IGA) in Cloud computing. _Int. J. Adv. Res. Comput. Eng. Technol. (JARCET)_**2017**, \(6\), ISSN 2278-1323. * [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Multi-Objective Task Scheduling Using Hybrid Genetic-Ant Colony Optimization Algorithm in Cloud Environment. _Wirel. Pers. Commun._**2019**, _107_, 1835-1848. [CrossRef]
* [PERSON] (2013) [PERSON] Task scheduling algorithm based on hybrid particle swarm optimization in cloud computing environment. _J. Theor. Appl. Inf. Technol._**2013**, _55_, 33-38. * [PERSON] and [PERSON] (2014) [PERSON]; [PERSON] Optimized utilization of resources using improved particle swarm optimization based task scheduling algorithms in cloud computing. _Int. J. Emerg. Technol. Adv. Eng._**2014**, \(4\), 110-115. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Integer-PSO: A discrete PSO algorithm for task scheduling in cloud computing systems. _Evol. Intell._**2019**, _12_, 227-239. [CrossRef]
* [PERSON] (2012) [PERSON] Bees life algorithm for job scheduling in cloud computing.