Evolutionary algorithms for solving the automatic cell planning problem: a survey-Reference-Cited by-同舟云学术

Evolutionary algorithms for solving the automatic cell planning problem: a survey

Published:2010-07 Issue:7 Volume:42 Page:671-690
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Luna Francisco,Durillo Juan J.,Nebro Antonio J.,Alba Enrique

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

http://www.tandfonline.com/doi/pdf/10.1080/03052150903426850

Reference92 articles.

1. Alba, E. Evolutionary algorithms for optimal placement of antennae in radio network design. Proceedings of the 18th international parallel and distributed processing symposium/Sixth international workshop on nature inspired distributed computing (IPDPS-NIDISC’04). April26–302004, Santa Fe, New Mexico. pp.168Los Alamitos, CA: IEEE Computer Society.

2. ON THE BEHAVIOR OF PARALLEL GENETIC ALGORITHMS FOR OPTIMAL PLACEMENT OF ANTENNAE IN TELECOMMUNICATIONS

3. Introduction to Cellular Genetic Algorithms

4. Alba, E., Molina, G. and Chicano, F. Optimal placement of antennae using metaheuristics. Revised papers from the 6th international conference on numerical methods and applications (NMA 2006). Vol. 4310, pp.214–222. New York: Springer. Lecture notes on computer science

5. Parallelism and evolutionary algorithms

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