Efficient Generators in Simulated Annealing
نویسنده
چکیده
The simulated annealing algorithm is modified to incorporate a generalization of the Metropolis sampling procedure previously applied to homogenous Markov chains by Hastings[8]. In this report, the inhomogenous version of Hastings' procedure is shown to converge asymptotically under conditions similar to Geman and Geman's logarithmic cooling schedule[7]. The new algorithm is experimentally shown to restore floating point images in 1/50 of the time required for a corresponding implementation of simulated annealing. Restorations of gray level images corrupted by white noise are presented.
منابع مشابه
Using and comparing metaheuristic algorithms for optimizing bidding strategy viewpoint of profit maximization of generators
With the formation of the competitive electricity markets in the world, optimization of bidding strategies has become one of the main discussions in studies related to market designing. Market design is challenged by multiple objectives that need to be satisfied. The solution of those multi-objective problems is searched often over the combined strategy space, and thus requires the simultaneous...
متن کاملAN EFFICIENT HYBRID ALGORITHM BASED ON PARTICLE SWARM AND SIMULATED ANNEALING FOR OPTIMAL DESIGN OF SPACE TRUSSES
In this paper, an efficient optimization algorithm is proposed based on Particle Swarm Optimization (PSO) and Simulated Annealing (SA) to optimize truss structures. The proposed algorithm utilizes the PSO for finding high fitness regions in the search space and the SA is used to perform further investigation in these regions. This strategy helps to use of information obtained by swarm in an opt...
متن کاملA Simulated Annealing Algorithm within the Variable Neighbourhood Search Framework to Solve the Capacitated Facility Location-Allocation Problem
In this study, we discuss the capacitated facility location-allocation problem with uncertain parameters in which the uncertainty is characterized by given finite numbers of scenarios. In this model, the objective function minimizes the total expected costs of transportation and opening facilities subject to the robustness constraint. To tackle the problem efficiently and effectively, an effici...
متن کاملUsing design of experiments approach and simulated annealing algorithm for modeling and Optimization of EDM process parameters
The main objectives of this research are, therefore, to assess the effects of process parameters and to determine their optimal levels machining of Inconel 718 super alloy. gap voltage, current, time of machining and duty factor are tuning parameters considered to be study as process input parameters. Furthermore, two important process output characteristic, have been evaluated in this research...
متن کاملSimulated Annealing Approach for Solving Bilevel Programming Problem
Bilevel programming, a tool for modeling decentralized decision problems, consists of the objective of the leader at its first level and that of the follower at the second level. Bilevel programming has been proved to be an Np-hard problem. Numerous algorithms have been developed for solving bilevel programming problems. These algorithms lack the required efficiency for solving a real problem. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007