COMPRESSION PROGRAMMING METHOD USING BLOCK SORT COMPRESSION ALGORITHM, PROCESSOR SYSTEM USING THE PROGRAMMING METHOD AND METHOD FOR INFORMATION DISTRIBUTION SERVICEPROBLEM TO BE SOLVED: To encode a program code by compression so as to decode it from addresses branched at random and to transmit ...
Our so-called hook-method provides a graphical summary of the hybridization characteristics of each microarray which directly transforms into a sort of natural metrics for intensity calibration with the potential to estimate expression values on an absolute scale. This metrics uses mismatched probes on ...
The main contributions of this paper are as follows: (i) A hybrid approach using GA as the main framework for the algorithm while employing PSO to improve the selection process; and (ii) Introducing the voltage stability criteria into the objective function of the proposed algorithm. The rest ...
However, the selection of the coupling strength (also called coupling factor, the definition can be found in [27]) and a random avoid time (the random transmission delay to node firing messages for avoiding repeated collisions) were not considered, which may influence the stability. Rather, the...
Considering these facts, in this paper, we propose a Probabilistic Topology Control (PTC) algorithm for an underwater cooperating AUV network. In PTC, when the transmission power of an AUV is not equal to the optimal transmission power, then whether the transmission power needs to be adjusted ...
Differential evolution is a heuristic, population-based algorithm originally proposed by Storn and Price in 1997. DE has mainly four stages: initialization, mutation, crossover, and selection. In the problem of identifying parameters, DE lacks the ability to attain a good optimization effect and ...
For its advantages, EDA is used to solve the energy-efficient scheduling problems in flexible flow shops in this paper. A novel decoding method is developed to optimize machine allocation, speed selection, and job sequence. flow shop scheduling problems, and it has obtained promising scheduling ...
entropy Article Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting Wendong Yang 1, Jianzhou Wang 1,2,* and Rui Wang 1 1 School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, ...
Moreover, they investigated the possible in- fluence of smoke, light, and distance on route determination for fire evacuation. When a fire occurs, the system provides evacuation route guidance to people so that they are able to avoid the hazard. Here, Particle Swarm Optimization (PSO) was ...
Calculation of interlayer distance in layered network. Figure 3. Calculation of interlayer distance in layered network. Given that value selection of hoverlap is important for valuing interlayer distance d, hoverlap is decidGeidvebnythexapt vecatlauteiosneledcitsitoanncoef hEoDverlbapeitswimeepno...