In this paper, an improved Simulated Annealing algorithm for Protein Fold- ing Problem (PFP) is presented. This algorithm called Cluster Perturbation Simulated Annealing (CPSA) is based on a brand new scheme to generate new solutions using a cluster perturbation. The algorithm is divided into two phases: Cluster Perturbation Phase and the Reheat Phase. The first phase obtains a good solution in a small amount of time, and it is applied at very high temperatures. The second phase starts with a threshold temperature and reheats the system for a better exploration. CPSA reduces the execution time of the Simulated Annealing Algorithm without sacrificing quality to find a native structure in PFP in Ab-Initio approaches.
['Juan Solis', 'Mishael Sánchez-Pérez', 'Ernesto Liñán-García', 'Juan Paulo Sánchez-Hernández', 'Manoj Ramachandran']
Cluster Perturbation Simulated Annealing for Protein Folding Problem