Multi-objective evaluation and optimization on trustworthy computing
نویسندگان
چکیده
منابع مشابه
Optimization of Agricultural BMPs Using a Parallel Computing Based Multi-Objective Optimization Algorithm
Beneficial Management Practices (BMPs) are important measures for reducing agricultural non-point source (NPS) pollution. However, selection of BMPs for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. Due to its iterative nature, the optimization typically takes a long time to achieve the BMP trade-off results which is not desirable ...
متن کاملMulti-Objective Optimization using Grid Computing
This paper analyzes some technical and practical issues concerning the use of parallel systems to solve multiobjective optimization problems using enumerative search. This technique constitutes a conceptually simple search strategy, and it is based on evaluating each possible solution from a given finite search space. The results obtained by enumeration are impractical for most computer platfor...
متن کاملoptimization of agricultural bmps using a parallel computing based multi-objective optimization algorithm
beneficial management practices (bmps) are important measures for reducing agricultural non-point source (nps) pollution. however, selection of bmps for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. due to its iterative nature, the optimization typically takes a long time to achieve the bmp trade-off results which is not desirable ...
متن کاملsolution 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...
Multi-Objective Optimization for Trustworthy Tactical Networks: A Survey and Insights
Multi-objective optimization (MOO) is the process of optimizing multiple objective functions concurrently and systematically. Modern Army missions require a tactical network to achieve multiple objectives as multiple parties with different objectives are involved in collaborative mission execution. MOO problems have been studied extensively in the field of coalition formation based on evolution...
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: Science China Information Sciences
سال: 2016
ISSN: 1674-733X,1869-1919
DOI: 10.1007/s11432-015-0856-7