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 …

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 …

Optimization algorithms must be among the most common numerical methods used by economists. Yet, there is surprisingly …

, a new algorithm, Folded DP, is proposed, which overcomes these difficulties. Though it is also an iterative process, no … developed algorithm is applied to a hypothetical reservoir system, solved by earlier researchers.Operating policy obtained using … the present algorithm has compared well with that of the earlier algorithm. Copyright Kluwer Academic Publishers 2003 …

maximize its long-term profit. By solving the closed form solution to the fully dynamic optimization problem with infinite …