A cover partitioning method for bound constrained global optimization

A cover partitioning method for bound constrained global optimization

A stochastic algorithm for global optimization subject to simple bounds is described. The method is applicable to black-box functions which may be non-smooth or discontinuous. The algorithm is in the spirit of the deterministic algorithm direct of Jones, Perttunen, and Stuckman. Like direct, it generates successively finer covers of the feasible region, where each cover consists of a finite num...

Efficient interval partitioning for constrained global optimization

1 Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore, 2 New England Biolabs Inc., 240 County Road, Ipswich, MA [email protected] 3 Izmir Ekonomi Universitesi, Izmir, Turkey [email protected] 4 University of Szeged, Institute of Informatics, Szeged, Hungary [email protected] 5 Advanced Concepts Team, ESA/ESTEC, Noordwijk, The Netherlands Tam...

Global optimization algorithms for bound constrained problems

solution of security constrained unit commitment problem by a new multi-objective optimization method

چکیده-پخش بار بهینه به عنوان یکی از ابزار زیر بنایی برای تحلیل سیستم های قدرت پیچیده ،برای مدت طولانی مورد بررسی قرار گرفته است.پخش بار بهینه توابع هدف یک سیستم قدرت از جمله تابع هزینه سوخت ،آلودگی ،تلفات را بهینه می کند،و هم زمان قیود سیستم قدرت را نیز برآورده می کند.در کلی ترین حالتopf یک مساله بهینه سازی غیر خطی ،غیر محدب،مقیاس بزرگ،و ایستا می باشد که می تواند شامل متغیرهای کنترلی پیوسته و گ...

A particle swarm pattern search method for bound constrained global optimization

In this paper we develop, analyze, and test a new algorithm for the global minimization of a function subject to simple bounds without the use of derivatives. The underlying algorithm is a pattern search method, more specifically a coordinate search method, which guarantees convergence to stationary points from arbitrary starting points. In the optional search phase of pattern search we apply a...