LBPSGORA: Create Load Balancing with Particle Swarm Genetic Optimization Algorithm to Improve Resource Allocation and Energy Consumption in Clouds Networks

Due to the purpose of this study that reducing power consumption in cloud network is based on load balancing, fitness function measures balance between and servers (the hosts). This technique appropriate for handling resource optimization challenges, due ability convert balancing problem into an (reducing imbalance cost). In research, combining results particle swarm genetic (PSGO) algorithm using a combination advantages these two algorithms lead improvement introducing suitable solution operation, because proposed approach (LBPSGORA), instead randomly assigning initial population algorithm, best result procured by putting population. The LBPSGORA method compared with PSO, GA, hybrid GA-PSO. execution cost, makespan have been evaluated our has performed better than similar methods.