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Erschienen in:
Novel Handoff Frequency Algorithms for Vehicular Area Networks Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

Cloud Feedback Assistance Based Hybrid Evolution Algorithm for Optimal Data Solution

verfasst von : Ming-Shen Jian, Fu-Jie Jhan, Kuan-Wei Lee, Jun-Hong Shen

Erschienen in: Information Technology Convergence

Verlag: Springer Netherlands

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Abstract

This paper develops a cloud based parallel and distributed evolutionary hybrid algorithm with feedback assistance to help planners solve the data optimal problems such as travel salesman problems. Each step and type of evolution algorithm is established via various virtual machines in cloud. The proposed feedback assistance is based on the fitness evaluation result and survival ratio of evolution algorithm. The feedback assistance can interact with the evolution algorithm and emphasize the process with more survival individuals in the next generation of evolution algorithm. Taking the advantage of cloud and the proposed feedback assistance, system users can take less effort on deploying both computation power and storage space. The convergency of optimal solution can be enhanced.

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Metadaten
Titel
Cloud Feedback Assistance Based Hybrid Evolution Algorithm for Optimal Data Solution
verfasst von
Ming-Shen Jian
Fu-Jie Jhan
Kuan-Wei Lee
Jun-Hong Shen
Copyright-Jahr
2013
Verlag
Springer Netherlands
Buch
Information Technology Convergence

Print ISBN: 978-94-007-6995-3

Electronic ISBN: 978-94-007-6996-0

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-94-007-6996-0_77

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