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1553 results about "Type selection" patented technology

The three types of natural selection are: directional selection, stabilizing selection and disruptive or diversifying selection. The example of giraffes presented above corresponds to the first of those three types of natural selection.

Methods and apparatus for selecting a base station transceiver system based on service communication type

Methods and apparatus for selecting a base station transceiver system for communication with a Third Generation (3G) (or better) mobile station are described. In one illustrative example, one or more base station transceiver systems are identified for communication with the mobile station through a scanning process. A first base station transceiver system is identified as providing a Third Generation (3G) communication service or better, whereas a second base station transceiver system is identified as failing to provide the 3G or better communication service (e.g. it may provide a Second Generation (2G) communication service). The first system is selected for communication over the second system based at least in part on identifying that the second system fails to provide the 3G or better communication service. For example, the first system may be chosen over the second system if the first system has a signal quality that is better than a minimum threshold, even if its signal quality is worse than that of the second system. Advantageously, even if an available 2G system has a better signal quality, preference for an adequate 3G or better system is given to ensure that a preferred data service is made available to the mobile station.
Owner:MALIKIE INNOVATIONS LTD

Cloud computing dynamic resource scheduling system and method

The invention relates to the dynamic resource scheduling technique in the cloud computing field, and provides a cloud computing dynamic resource scheduling method based on the feedback and a prediction mechanism. The method aims to overcome the defects of the cloud computing resource distribution and scheduling technique in the prior art, and can achieve balance use of various computer resources in a cloud computing environment, obtain satisfactory load balance under small pay expenses and improve comprehensive efficiency of system scheduling. According to the scheme, various performance indexes of virtual machines are monitored in real time in operation processes of the virtual machines, operation circumstances of all the current virtual machines within a next short period of time are predicted according to the monitored various current performance indexes of the virtual machines and a virtual machine state prediction model based on state feedback when a task request comes, and the most adaptive virtual machine is selected by combining a prediction result and a required task type and the required task is distributed. In addition, the invention further discloses a corresponding cloud computing dynamic resource scheduling system applicable to dynamic resource scheduling.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Task scheduling method based on heredity and ant colony in cloud computing environment

Provided in the invention is a task scheduling method based on heredity and ant colony in a cloud computing environment. The method comprises the following methods: S1, initializing population; S2, selecting individuals according to a wheel disc type selection strategy; S3, carrying out crossover operation on the individuals according to crossover probability and carrying out reversion mutation operation according to a mutation probability so as to generate a new colony; S4, updating the new generated colony; S5, determining whether a dynamic fusion condition is met; S6, initializing ant pheromone by using an optimal solution found by heredity; S7, calculating probabilities of moving to next nodes by all ants and moving all the ants to the next nodes according to the probabilities; S8, enabling M ants to travelling N resource nodes and carrying out pheromone updating on an optimal ant cycle; S9, carrying out pheromone updating on all paths; and S10, determining whether an ant end condition is met and outputting an optimal solution. According to the invention, respective advantages of a genetic algorithm and an ant colony algorithm are drawn and respective defects are overcome; and on the basis of dynamic fusion of the two algorithms, time and efficiency of exact solution solving are both considered.
Owner:JIANGSU UNIV

Area type energy Internet and integrated optimization planning method thereof

The invention relates to an area type energy Internet and an integrated optimization planning method thereof. The area type energy Internet comprises local energy resources, distributed energy, production and consumption integrated energy and mutually connected area micro energy nets. The integrated optimization planning method comprises the following steps: 1, obtaining an area type energy Internet planning design database; 2, establishing an optimization mathematic model; 3, obtaining input variable parameter values needed by the optimization mathematic model from the area type energy Internet planning design database, solving the optimization model, and obtaining output data of decision variables; and 4, analyzing the output data of the decision variables to obtain a cooperation optimization result, wherein the cooperation optimization result comprises an optimal technological type selection and layout, an optimal equipment capacity, an optimal heat network layout and an optimal operation strategy. Compared to the prior art, the area type energy Internet and the integrated optimization planning method thereof overcome the defects of poor interaction between energy users and difficult supply-demand matching in the prior art and have the advantages of networking, systematization, high efficiency and the like.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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