Hybrid Metaheuristics and their Implementations

This paper studies with the design of hybrid metaheuristics and their implementations. Hybrid metaheuristics involve some major issues that could be classified as design and implementation. Combining different kinds of methods is a ordinary strategy to solve optimization problems. As we have developed a unified view of metaheuristics, that is based on their key search components, one can say that designing a multi-objective metaheuristic can be reduced to select the most suited search components and combining them. Each of these metaheuristics has been proven successful on a variety of applications. Although there have been attempts to compare their performance, the results are contradicting and inconclusive. A difference is made between the design issues used to introduce hybridization and implementation issues that depend on the execution model of the algorithms

Modeling and Development of Medical Information System Based on Support Vector Machine in Web Network

This paper aims at improving and utilizing the ontology information in ontology design of FOAF and vCard in real time, and the application of open relational data technology, SPARQL query information results and sending RDF/JSON data format. In addition, improve the effectiveness and efficiency of patient information extraction from the medical information website. This article includes two web search engines that are used to inform patients about medical care information. The experiment uses Drupal as the main software tool, and the Drupal RDF extension module provides some meaningful mapping. In the evaluation part, the structure of the experimental test platform is established and the system function test is carried out. The evaluation results include consumers or patients retrieving the latest doctor information and comparing search capabilities and techniques, between our system and existing systems