Titlebook: Genetic and Evolutionary Computing; Proceedings of the S Jeng-Shyang Pan,Pavel Kr?mer,Václav Sná?el Conference proceedings 2014 Springer In

Optician

書(shū)目名稱Genetic and Evolutionary Computing影響因子(影響力)




書(shū)目名稱Genetic and Evolutionary Computing影響因子(影響力)學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Genetic and Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing被引頻次




書(shū)目名稱Genetic and Evolutionary Computing被引頻次學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing年度引用




書(shū)目名稱Genetic and Evolutionary Computing年度引用學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing讀者反饋




書(shū)目名稱Genetic and Evolutionary Computing讀者反饋學(xué)科排名

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PSO-2S Optimization Algorithm for Brain MRI Segmentation,, . fitting a sum of Gaussian probability density functions to the image histogram. This problem can be expressed as a continuous nonlinear optimization problem. The goal of this paper is to show the relevance of using a recently proposed variant of the Particle Swarm Optimization (PSO) algorithm, c

向外才掩飾

迫擊炮

A Swarm Random Walk Algorithm for Global Continuous Optimization,lve these problems approximately, when solving them exactly is impractical. In this class of methods, swarm intelligence (SI) presents metaheuristics that exploit a population of interacting agents able to self–organize, such as ant colony optimization (ACO), particle swarm optimization (PSO), and a

echnic

燈泡

燈泡

Object Detection Using Scale Invariant Feature Transform,res from images and it is a useful tool for matching between different views of an object. This paper proposes how the SIFT can be used for an object detection problem, especially human detection problem. The Support Vector Machine (SVM) is adopted as the classifier in the proposed scheme. Experimen

導(dǎo)師

Nearest Feature Line and Extended Nearest Feature Line with Half Face, are proposed for face recognition. Nearest feature line (NFL) classifier and extended nearest feature line (ENFL) classifier both constitute the feature line by a pair of the samples belonging to the same class. Being different from them, NFLhalfface and ENFLhalfface constitute the feature line by

LEVER

Studying Common Developmental Genomes in Hybrid and Symbiotic Formations, previous work, we studied the common properties of several computational architectures consisting of connected computational elements. Their common property of sparsely connected networks, envisages how universal properties and processes can be included in a developmental mapping through an . appro

不理會(huì)

Routing and Wavelength Assignment in Optical Networks from Maximum Edge-Disjoint Paths, We propose an algorithm which is based on the maximum number of edge-disjoint paths (MEDP) to solve the RWA problem. The performance of the proposed method has been verified by experiments on several realistic network topologies.