Overview of optimization problems and case studies; introduction to meta-heuristic and evolutionary algorithms; A brief review of conventional search algorithms, simulated annealing algorithm; tabu search algorithm; genetic algorithm; ant colony optimization algorithm, particle swarm optimization algorithm; variable neighborhood search, adaptive large neighborhood search, hybrid algorithm; other evolutional algorithms; application of optimization problems algorithm with case studies, and practicing with programming language or related software, and application for telecommunication