The Fitness Landscapes Exploration Based on the Parallel Simulated Annealing Algorithm

Abstract

Taken the complexity of managing forests into account, researchers regard the virtual forest environment as an experimental area, and manage the forests efficiently by way of the simulated annealing algorithm. More specifically, this paper evolves the forests from the current forest states to the most desired one using the most efficient path. Due the traditional simulated annealing algorithm converges slowly and has long execution time, this paper takes on a parallel method and its optimization strategy based on simulated annealing. As it is expected, increasing the number of processes is positive in any case; an important supplement to global search is local optimization. All above present that the parallel strategy can be efficient and low cost management of forest landscape.