A new auxiliary function method for general constrained global optimization
نویسندگان
چکیده
منابع مشابه
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 New Quasi-Filled Function Method for Constrained Global Optimization
In this paper, a class of new auxiliary function with one parameter on constrained problem for escaping the current local minimizer of global optimization problem is proposed. Firstly, we give a definition of the quasifilled function for constrained problem and under some mild assumptions, we prove the proposed auxiliary function is a quasi-filled function. Then, a new algorithm is presented ac...
متن کاملαBB: A global optimization method for general constrained nonconvex problems
A branch and bound global optimization method, BB, for general continuous optimization problems involving nonconvexities in the objective function and/or constraints is presented. The nonconvexities are categorized as being either of special structure or generic. A convex relaxation of the original nonconvex problem is obtained by (i) replacing all nonconvex terms of special structure (i.e. bil...
متن کاملA filled function method for constrained global optimization
In this paper, a Þlled function for escaping the current local minimizer of a constrained global optimization problem is proposed. Then a Þlled function method for obtaining a global minimizer of the constrained optimization problem is presented. By this method, a global minimizer of a constrained global optimization problem can be obtained just by searching local minimizers of the original con...
متن کاملA New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems
Global optimization methods play an important role to solve many real-world problems. Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called hybrid flower pollination algorithm (FPPSO) is proposed. The method combines the standard flower pollination algorithm (FP) with the par...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optimization
سال: 2013
ISSN: 0233-1934,1029-4945
DOI: 10.1080/02331934.2011.571258