Optimization techniques are important in analog circuit design to minimize circuit size and maximize performance under constraints. Available techniques for optimization include classical methods, nature-inspired algorithms like particle swarm optimization and ant colony optimization, and learning-based optimization. Single-objective optimization aims to optimize a single metric like power or area, while multi-objective optimization aims to optimize multiple conflicting objectives simultaneously, such as power and speed.