کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
496771 | 862870 | 2011 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Global optimization using dimensional jumping and fuzzy adaptive simulated annealing Global optimization using dimensional jumping and fuzzy adaptive simulated annealing](/preview/png/496771.png)
This paper proposes a new multi-start, stochastic global optimization algorithm that uses dimensional reduction techniques based upon approximations of space-filling curves, simulated annealing and particle swarm optimization, aiming at finding global minima of real-valued functions that are not necessarily well behaved, that is, are not required to be differentiable, continuous, or even satisfying Lipschitz conditions. The overall idea is as follows: given a real-valued function F with a multidimensional and compact domain D, the method builds an equivalent one-dimensional problem by composing F with a linearization of D, searches for a small population of candidates and returns to the original high-dimensional domain, this time with a small set of promising starting points.
Journal: Applied Soft Computing - Volume 11, Issue 6, September 2011, Pages 4175–4182