By mapping the optimization problems to physical systems, the paper presents a general-purpose stochastic optimization …. As self-organized critical processes of extremal dynamics, the optimization dynamics successively updates the states of … those cities with high energy. Consequently, a near-optimal solution can be quickly obtained through the optimization …

, 1995) and Gambardella et al.}(1997) have proposed a remarkable optimization method, Ant Colony Optimization (ACO), which … they applied to classical NP-hard combinatorial optimization problems, such as the traveling salesman problem (Lawler et al …

The effectiveness of the Metropolis algorithm (MA) (constant-temperature simulated annealing) in optimization by the …. The optimization mechanism of this hybrid approach (MASSS) is investigated by analyzing the exploration dynamics observed … as a local search algorithm in the SSS approach. It is also clarified that the optimization characteristics of these two …

Simulated Annealing has become a standard optimization technique for a wide variety of problems: starting at a random …

Simulated annealing is the classic physical optimization algorithm, which has been applied to a large variety of …