An efficient co-evolutionary multi-objective particle swarm optimizer named ECMPSO was *** uses dynamic multiple swarms to deal with multiple objectives,taking one objective is optimized by each swarm into account,and...
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An efficient co-evolutionary multi-objective particle swarm optimizer named ECMPSO was *** uses dynamic multiple swarms to deal with multiple objectives,taking one objective is optimized by each swarm into account,and maintains diversity of new found non-dominated solutions via adopts a three-level particle swarm optimization(PSO) updating rule wherein the particles learn their experiences based on personal,neighborhood,and external *** prove the validity of the ECMPSO algorithm for solving multi-objective problems,some benchmark problems and one real-life problem are selected to validate the performance of the ECMPSO *** experiment results show that the ECMPSO algorithm is better in terms of search precision and convergence performance than other three algorithms from the literature.
A new uniplanar printed PIFA with a coupled-feed structure for LTE/WWAN operation is proposed. The PIFA consists of a coupled-feed loop structure and two separated radiators which are able to generate additional bands...
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In this paper, we analyzed the blindness of traditional clustering algorithms, which select cluster head based on residual energy. Then we proposed the Dynamic Clustering Algorithm (DCA) in Mobile Wireless Sensor Netw...
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Multi-objective optimization algorithms have demonstrated their effectiveness and efficiency in detecting community structure in complex networks, by which a set of trade-off partitions of networks are obtained instea...
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In distributed energy hybrid power system of intelligent building, Multi-input DC/DC converter has many advantages, simplifying the dynamic interface to the system for distributed power and playing voltage Boost or Bu...
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ISBN:
(纸本)9781467371070
In distributed energy hybrid power system of intelligent building, Multi-input DC/DC converter has many advantages, simplifying the dynamic interface to the system for distributed power and playing voltage Boost or Buck more effectively in the system. Based on OpenADR communication protocol and according to electricity prices, the system load can be adjusted by the intelligent controller for the economic optimal goal Besides, an intelligent building DC Micro-grid simulation in which the Wind-PV-diesel battery hybrid power system also realized will be presented so as to increase accesses of distributed energy.
The research of the relationship between eye-movement and human activity has become a hot spot in the field of the human-computer interaction. In order to recognize the eye-movement patterns related to reading tasks, ...
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ISBN:
(纸本)9781467372190
The research of the relationship between eye-movement and human activity has become a hot spot in the field of the human-computer interaction. In order to recognize the eye-movement patterns related to reading tasks, an algorithm based on electrooculogram(EOG) has been proposed in this paper. In the proposed approach, wavelet packet decomposition was firstly used to smooth EOG signals during reading tasks, and then, according to the predefined coding strategy, the smoothed EOG waveform is translated into a coding string to represent current reading state. Finally, Levenshtein distance is employed to measure the similarity of the template string and the output string. The experiments under the experimental paradigms of autonomy-reading and stimulus-reading and reading with rest state have been carried out. The mean accurate has reached 90%. The experimental results indicate that the proposed algorithm can effectively recognize human reading activity state.
In this paper, we proposed a first-order discrete time nonlinear dynamic model of congestion control system with TCP LogWestwood+ (TCPLog) connections and random early detection (RED) gateway in high-speed wireless ne...
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Differential Evolution (DE) algorithm is a kind of intelligent algorithm based on natural evolution over the past few decades, which shows better optimization performance on some classical benchmark problems. However,...
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A new Rauch-tung-striebel form of the fixed-lag cubature Kalman smoother has been developed for nonlinear state-space models by adopting cubature transformation for optimal smoothing. This new smoother differs from th...
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There has been a growing interest in alignment-free methods for whole genome comparison and phylogenomic studies. In this study, we propose an alignment-free method for phylogenetic tree construction using whole-prote...
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There has been a growing interest in alignment-free methods for whole genome comparison and phylogenomic studies. In this study, we propose an alignment-free method for phylogenetic tree construction using whole-proteome sequences. Based on the inter-amino-acid distances, we first convert the whole-proteome sequences into inter-amino-acid distance vectors, which are called observed inter-amino-acid distance profiles. Then, we propose to use conditional geometric distribution profiles (the distributions of sequences where the amino acids are placed randomly and independently) as the reference distribution profiles. Last the relative deviation between the observed and reference distribution profiles is used to define a simple metric that reflects the phylogenetic relationships between whole-proteome sequences of different organisms. We name our method inter-amino-acid distances and conditional geometric distribution profiles (IAGDP). We evaluate our method on two data sets: the benchmark dataset including 29 genomes used in previous published papers, and another one including 67 mammal genomes. Our results demonstrate that the new method is useful and efficient.
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