16 December 1992 Continuous-state simulated annealing algorithms: theory and application
Author Affiliations +
Simulated annealing algorithms for optimization over continuous spaces come in two varieties: Markov chain algorithms and modified gradient algorithms. Unfortunately, there is a gap between the theory and the application of these algorithms: the convergence conditions cannot be practically implemented. In this paper we suggest a practical methodology for implementing the modified gradient annealing algorithms based on their relationship to the Markov chain algorithms.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Saul B. Gelfand, Saul B. Gelfand, Peter C. Doerschuk, Peter C. Doerschuk, Mohamed Nahhas-Mohandes, Mohamed Nahhas-Mohandes, } "Continuous-state simulated annealing algorithms: theory and application", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130832; https://doi.org/10.1117/12.130832

Back to Top