A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization

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...

Box-constrained multi-objective optimization: A gradient-like method without "a priori" scalarization

Let Rn be the n-dimensional real Euclidean space, x = (x1, x2, . . . , xn) ∈ Rn be a generic vector, where the superscript T means transpose. Let x, y ∈ Rn, we denote by yTx the Euclidean scalar product, by ‖x‖ = (xTx)1/2 the Euclidean norm and by the symbols x < y and x ≤ y, x, y ∈ Rn the componentwise inequalities, that is: xi < yi, xi ≤ yi, i = 1, 2, . . . , n. Let us denote by Uδ(x̂) the ope...

A NOVEL FUZZY MULTI-OBJECTIVE ENHANCED TIME EVOLUTIONARY OPTIMIZATION FOR SPACE STRUCTURES

This research presents a novel design approach to achieve an optimal structure established upon multiple objective functions by simultaneous utilization of the Enhanced Time Evolutionary Optimization method and Fuzzy Logic (FLETEO). For this purpose, at first, modeling of the structure design problem in this space is performed using fuzzy logic concepts. Thus, a new problem creates with functio...

Evolutionary Multi-Objective Robust Optimization

Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization

Dynamic optimization and multi-objective optimization have separately gained increasing attention from the research community during the last decade. However, few studies have been reported on dynamic multi-objective optimization (dMO) and scarce effective dMO methods have been proposed. In this paper, we fulfill these gabs by developing new dMO test problems and new effective dMO algorithm. In...