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Satellite observation scheduling is a complex combinational optimization problem. Current researches usually adopt intelligent optimization methods to solve it, ignoring the similar historical scheduling cases. In order to improve algorithm performance, case-based learning method is introduced to the scheduling process. Considering the characteristic of the problem, a method of retrieving, matching...
With the appearance of satellite cluster nowadays, some new challenges have emerged in satellite data transmission scheduling. Current researches ignored the new features of the satellite cluster data transmission such as the periodicity of data transmission window collisions which could direct the future scheduling. Considering the characteristics of the problem, a data transmission conflict window...
Deep inspection is widely used to identify network traffic. Due to the complexity of payload in traffic, regular expressions are becoming the preferred choice to specify the rules of deep inspection. Compiling a set of regular expressions into one Deterministic Finite Automata (DFA) often leads to state explosion, which means huge or even impractical memory cost. Distributing a set of regular expressions...
In this paper, The traditional vehicle routing problem with time windows is expanded to the situation that the time window is replaced by fuzzy due time which can represent the preferences of the customers. After a simple description of fuzzy due time and the fuzzy vehicle routing problem, a multi-objective mathematical model for the problem is built. Then, an insertion heuristic-based hybrid genetic...
With the intensification of market competition and fast development of science and technology, many enterprises have begun to realize the importance of logistic distribution vehicle routing problem under uncertainty environment, and begin to pay more attention to the research of this problem. In this paper, The traditional vehicle routing problem is expanded to the situation that the customers' service...
This paper proposes a finite-impulse response (FIR) based UWB transmitter. The pulse is optimized by genetic algorithm (GA) with the power spectral efficiency of 74%. The injection-locking technology for jitter reduction with loop filtering and phase filtering is discussed which significantly reduces the amount of jitter in high frequencies. By using the genetic algorithm, the optimal FIR pulse could...
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