With advances of Internet-of-Things and home automation technologies, design and development of Home Energy Management Systems (HEMSs) have become an active research area in recent years. This paper proposes a new HEMS that performs operation scheduling for household appliances by coordinately considering the household’s energy cost and the occupant’s acoustic comfort. A noise gain model is established for the electric household appliances and an acoustic comfort model is proposed for the occupant. Based on this, an optimal appliance scheduling model is formulated that balances the objectives of minimizing the home energy cost and maximizing the occupant’s acoustic comfort. A biological intelligence inspired optimizer is applied to solve the proposed model, and case studies are designed to validate the proposed method.