Electric vehicles are an appealing new alternative to conventional automobiles. They are excellent for the environment because to their affordable costs of operation and ability to utilize renewable energy sources. The growing popularity of electric cars (EVs) has brought up issues with load management and an effective infrastructure for charging EVs. In order to solve the issue of charging EVs, this research article focuses on applying Genetic Algorithm (GA) optimization techniques to schedule the load of household appliances. The goal is to optimize user satisfaction, minimize overall energy costs, and improve the charging process through taking into account the electrical demand of both home appliances and EVs. The paper analyzes the integration of load scheduling for home appliances, gives an overview of GA optimization approaches and their application in EV charging scenarios, and highlights the advantages, difficulties, and potential directions for future research in the area of GA optimization.