Solving channel allocation problem using new genetic operators – An experimental approach-Reference-Cited by-同舟云学术

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Solving channel allocation problem using new genetic operators – An experimental approach

Published:2016-09 Issue: Volume:8 Page:409-411
ISSN:2213-0209
Container-title:Perspectives in Science
language:en
Short-container-title:Perspectives in Science

Author:

Marappan Raja,Sethumadhavan Gopalakrishnan,Harimoorthy U.

Funder

SASTRA University

Publisher

Elsevier BV

Subject

General Engineering

Reference9 articles.

1. Coloring-based inter-WBAN scheduling for mobile wireless body area networks;Cheng;IEEE Trans. Parallel Distrib. Syst.,2013

2. Efficient scheduling algorithms for multiantenna CDMA systems;Driouch;IEEE Trans. Veh. Technol.,2012

3. Downlink scheduling resource allocation for cognitive radio MIMO networks;Driouch;IEEE Trans. Veh. Technol.,2013

4. A new genetic algorithm for graph coloring;Marappan,2013

5. Solution to graph coloring problem using heuristics and recursive backtracking;Marappan;Int. J. Appl. Eng. Res.,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New evolutionary operators in coloring DIMACS challenge benchmark graphs;International Journal of Information Technology;2022-08-19

2. Call Admission Control in Mobile Multimedia Network Using Grey Wolf Optimization;Intelligent Computing in Engineering;2020

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