OPTIMIZATION IN NETWORKS: MODELING, ALGORITHMS AND APPLICATIONS
نویسندگان
چکیده
منابع مشابه
Combinatorial Optimization Algorithms for Metabolic Networks Alignments and Their Applications
The accumulation of high-throughput genomic and proteomic data allows for reconstruction of large and complex metabolic networks. To analyze accumulated data and reconstructed networks, it is critical to identify network patterns and evolutionary relations between metabolic networks; finding similar networks is computationally challenging. Based on gene duplication and function sharing in biolo...
متن کاملeconomic optimization and energy consumption in tray dryers
دراین پروژه به بررسی مدل سازی خشک کردن مواد غذایی با استفاده از هوای خشک در خشک کن آزمایشگاهی نوع سینی دار پرداخته شده است. برای آنالیز انتقال رطوبت در طی خشک شدن به طریق جابجایی، یک مدل لایه نازک برای انتقال رطوبت، مبتنی بر معادله نفوذ فیک در نظر گفته شده است که شامل انتقال همزمان جرم و انرژی بین فاز جامد و گاز می باشد. پروفایل دما و رطوبت برای سه نوع ماده غذایی شامل سیب زمینی، سیب و موز در طی...
15 صفحه اولAnalysis and Applications of Evolutionary Multiobjective Optimization Algorithms Analysis and Applications of Evolutionary Multiobjective Optimization Algorithms
This thesis deals with the analysis and application of evolutionary algorithms for optimization problems with multiple objectives. Many application problems involve (i) a system model that is not given in closed analytical form and (ii) multiple, often conflicting optimization criteria. Both traits hamper the appli¬ cation of classical optimization techniques, which require a certain structure ...
متن کاملNeural networks: Algorithms and applications
This special issue of Neurocomputing includes 24 original articles which are extended versions of selected papers from the Fourth International Symposium on Neural Networks (ISNN 2007). As a sequel to ISNN 2004/ISNN 2005/ISNN 2006, ISNN 2007 was held in June 2007, in Nanjing, China, an old capital of China and a modern metropolis with 2470year history. ISNN 2007 provided a high-level internatio...
متن کاملHemingway: Modeling Distributed Optimization Algorithms
Distributed optimization algorithms are widely used in many industrial machine learning applications. However choosing the appropriate algorithm and cluster size is often difficult for users as the performance and convergence rate of optimization algorithms vary with the size of the cluster. In this paper we make the case for an ML-optimizer that can select the appropriate algorithm and cluster...
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: Pesquisa Operacional
سال: 2017
ISSN: 1678-5142,0101-7438
DOI: 10.1590/0101-7438.2017.037.03.0435