Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The bin packing process can be modeled on optimization problems and it is widely studied due to its various applications. However, most implementation of the problem lacks of coordination in a unified optimization framework. Therefore, based on a general framework of multi-objective optimization with metaheuristics, jMetal, a novel genetic algorithm for bin packing problems is proposed in this paper...
Biogeography-based optimization (BBO) is a new biogeography inspired algorithm for global optimization, which has shown impressive performance on many popular benchmarks. However, there are still some open research aspects that need to be addressed for BBO. In this paper, we extend the original BBO to iCPBBOCO algorithm (an improved Cosine-Probability chaotic BBO). Furthermore, in order to further...
In hybrid heterogeneous and dynamically changing distributed grid environment, how to assign tasks to appropriate resources is one of the most challenging techniques. In this paper, we present a novel grid task assignment model and corresponding algorithm based on agents, small-world network model theory, and power-law. With the help of agents to assign tasks, the proposed model and algorithm can...
How to improve the efficiency and performance of job scheduling in grid computing is one of the most important and challenging techniques. This paper tries to give out a novel grid job scheduling model based on agent technology. To make full use of intelligence and adaptability of the agents, dynamic fuzzy knowledge-base and corresponding fuzzy reinforcement learning algorithm are proposed for the...
This paper introduced linear frequency modulation (LFM) waveforms and proposed a new method based on the Wigner transformation and Hough transformation, the new method was used to estimate the number of targets contained in the LFM radar returns. At last we got the simulation result through experiments. The simulation results show that as long as the waveforms meet the certain conditions, the number...
In order to compensate the roll eccentricity in hot strip rolling process, a multi-resolution wavelet transform method was proposed. This wavelet method has quiet good localization characteristic in both time domain and frequency domain. To eliminate frequency aliases inhered in Mallat algorithm, an anti-aliasing algorithm combining fast Fourier transform (FFT) and inverse fast Fourier transform (IFFT)...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.