A New Production-Splitting Method for the Multi-Well-Monitor System

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...

‏‎faciliting lexical access for the fluent production of speech‎‏

‏‎the hypothesis is that recent and frequent exposure to lexical items leads to a more fluent production of speech in terms of rate of speech. to test the hypothesis,a one-way anova experimental design was carried out. 24 sednior students of efl participated in a one-way interview test. data analyses revealed that those who were exposed frequently to the lexical items over a week prior to inter...

‏‎facilitating lexical access for the fluent production of speech‎‏

‏‎the hypothesis is that recent and frequent exposure to lexical items leads to a more fluent production of speech in terms of rate of speech. to test the hypothesis , a one- way anova experimental design was carried out. 24 senior student of efl participated in a one-way interview test. data analyses revealed that those who were exposed frequently to the lexical items over a week prior to inte...

A New Method for Solving Fuzzy Linear System

A New Method For Solving Linear Bilevel Multi-Objective Multi-Follower Programming Problem

Linear bilevel programming is a decision making problem with a two-level decentralized organization. The leader is in the upper level and the follower, in the lower level. This study addresses linear bilevel multi-objective multi-follower programming (LB-MOMFP) problem, a special case of linear bilevel programming problems with one leader and multiple followers where each decision maker has sev...