Containers have become a preferred virtualization solution in the cloud computing environment in recent years. The challenges of container resource scheduling have progressively become a prominent research topic. Containers are deployed in many new trends such as micro service architecture, edge computing, and server less computing due to their lightweight portability, and security. In order to make better use of containers, examine current placement policies and identify areas where improvements can be done. This survey focuses on various multi-objective optimizations, Particle Swarm Optimization (PSO), and Ant Colony-Optimization (ACO) based scheduling algorithms. This work identifies the various key objectives and basic solutions together with tools and technology. Finally, in order to fully use emerging container technology, this study suggests areas for further research.