optimization routines for difficult optimization problems. This paper compares SIMANN to the DFP algorithm on another optimization …This paper describes SIMANN, a Fortran and GAUSS implementation of the simulated annealing algorithm. The Fortran code … was used in "Global Optimization of Statistical Functions with Simulated Annealing" (Goffe, Ferrier, and Rogers 1994). In …

optimization routines for difficult optimization problems. This paper compares SIMANN to the DFP algorithm on another optimization …This paper describes SIMANN, a Fortran and GAUSS implementation of the simulated annealing algorithm. The Fortran code … was used in "Global Optimization of Statistical Functions with Simulated Annealing" (Goffe, Ferrier, and Rogers 1994). In …

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search … (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed … hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase …

a heuristic approach based on simulated annealing. Annealing algorithms are random local search optimization algorithms …

timetabling environment is described followed by some experimental results. A parallel algorithm which can be implemented on a … multiprocessor is presented. This algorithm can provide a faster solution than the equivalent sequential algorithm. Some further …

include: (1) population approaches, such as ant colony optimization (ACO), the genetic algorithm (GA), particle swarm … optimization (PSO), and bee colony algorithm (BCA); and (2) trajectory approaches, such as the tabu search (TS) and simulated … energy density) to produce bioenergy. To overcome this challenge, large-scale optimization models are needed to be solved to …