Simulated Annealing in Search Algorithms and Optimization

Explore the fundamentals of Simulated Annealing, including its mechanism, algorithm, and real-world applications. Learn about its inspiration from metallurgy, acceptance probability function, and neighbourhood structure. Compare it with genetic algorithms, particle swarm optimisation, and hill climbing. Discover its use in solving the travelling salesman problem, VLSI circuit design, and protein folding.