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Multiple-kernel k-means (MKKM) clustering has demonstrated good clustering performance by combining pre-specified kernels. In this paper, we argue that deep relationships within data and the complementary information among them can improve the performance of MKKM. To illustrate this idea, we propose a diversity-induced MKKM algorithm with extreme learning machine (ELM)-based feature extracting method...
In this paper, coordinated beamforming scheme in distributed antenna systems (DASs) used for energy efficient transmission is developed. The major problem is non-convex of the optimization problem and is difficult to solve directly due to the fractional form. It is transformed into an equivalent subtractive-form optimization problem, by which we tackle this problem through a two-layer optimization...
Issues related to Wireless Sensor Networks (WSNs) are inseparable part of concerns in Big Data, due to they can provide a large amount of real-time data to the processing units. A service-oriented wireless sensor network aims to manage the procedure for data-provision by considering the term "service" as a user-specified requirement. In another words, it provides a user-friendly interface...
In this paper, a real-time voltage control platform, based-on genetic algorithm (GA) program, is built to optimize a 32-element high gain beam-forming antenna. After 500 generations, S21 has been significantly improved. The gain of the antenna has promoted to 8.95dBi, and the beam-width of the antenna has narrowed down to 30°.
In this paper, a practical Identification strategy is applied to the optimal design of fractional-order iterative learning control (FOILC). The initialized fractional-order gray-box system with commensurate order or non-commensurate order is identified by using the fractional-order iterative learning Identification and the least square or instrumental variable method. The optimal Dα-type FOILC is...
Underwater acoustic communication is paid more and more attention with the development of marine researches in recent years. Underwater acoustic communication channel is considered to be one of the most complicated channels, it suffers from the less available bandwidth, the more serious multipath effect and the even complex noise. Due to the severe distortion of the received signals, the underwater...
Aiming at the deficiencies of the traffic signal cycle optimization in the regional traffic signal control system and considering vehicle emission pollution, this paper proposed a traffic signal cycle optimization method based on bi-level programming model, and attempted to take reducing vehicle emission as one of the signal control objective parameters. Then the improved PSO algorithm was proposed...
In the problem of optimal sensor deployment for satellite antenna reflector, to avoid the one-sidedness of single-objective criterion, in this paper, we adopt double-objectives criterion, which contains the largest orthogonality and the highest vibration energy of observed signal. The double-objectives criterion is converted to single-one criterion by mathematical transformation and Genetic Algorithm...
Collaborative filtering technology is one major method used in recommendation systems. Most existing collaborative filtering algorithms merely use rating data as their prediction input. Social tags have become widely used in web applications which not only reflect the user's personality but also item's properties and semantic meanings. We design an algorithmic framework by extending item-based collaborative...
The author built up a hierarchical parallel genetic compound form algorithm (H-P-G-C) which was develop based on delicate variables' segments, parallel algorithm, genetic algorithm (GA) and compound form algorithm. An optimizing model of navigation performances and structural properties for inland ships was constructed. This composite algorithm is programmed by VC++, it has a friendly graphical user...
In this paper, a hierarchical parallel chaos algorithm is designed based on parallel thinking, chaos theory and weighted distance rule and it is called new chaos algorithm (CX), and then based on parallel thinking, fuzzy theory, genetic algorithm and new chaos algorithm, a hierarchical parallel chaos fuzzy genetic algorithm is advanced and it is called HPCXFGA. This new algorithm is programmed by...
In this paper, a hierarchical parallel genetic-chaos algorithm is advanced basing on parallel thinking, genetic algorithm and new chaos algorithm and it is called HP-GA-CX. This new algorithm is programmed by VC++ into software which has a user-friendly graphical interface of good interactivity and applied to solving that mathematical model of synthetically optimizing main mechanics performance of...
Based on a kind of typical high-speed monohull, this paper discussed an overall optimization's method of navigational performance and structure characteristic with the materials of some ships and some relevant experience expressions. In order to compare this method with others, the writer had also made up a software(VC++6.0). The result showed that the inequality hierarchical genetic complex method...
Contraposing to the shortage of those actual methods for solving the dynamic combinatorial optimization problems, a new method called DBCN short for duality balance contract-net is brought forward. The DBCN integrates the traditional contract-net protocol and the duality balance algorithm, so that which is not only good at timeliness and facility, but also achieves the dynamic optimization in real-time...
In this paper, a mathematical model of synthetically optimizing mechanics properties for ships is constructed. Basing on delamination, parallel algorithm, genetic algorithm (GA) and chaos algorithm, then a delamination-parallel genetic chaos algorithm basing on delicate variables' segments is advanced. This complex algorithm is programmed by VC++ into software which has a user-friendly graphical interface...
In order to utilize the waste heat efficiently for a gas engine-driven heat pump running in a cooling mode, this paper studies two combined absorption/compression refrigeration cycles using ammonia and water as the working fluid. By analyzing the operating characteristics of the combined cycles that make efficient use of both the work and the heat output of an engine, this paper puts forward an optimal...
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