@inproceedings{971aeef53349471ea0a47362525163f4,
title = "MCGA: A multiobjective cellular genetic algorithm based on a 3D grid",
abstract = "This paper proposes a new cellular multiobjective genetic algorithm based on a 3D grid structure. The basic idea is to organize the candidate solutions by a 3D grid, and the reproduction and replacement operators are based on the 3D grid. The proposed algorithm is compared with two 2D cellular multiobjective genetic algorithms on the DTLZ test suite, and the statistical results indicate that our approach performs better than the compared algorithms according to both the diversity and convergence metrics. Furthermore, our approach is computational more stable.",
keywords = "3D grid, cellular genetic algorithm, multiobjective optimization",
author = "Hu Zhang and Shenming Song and Aimin Zhou",
year = "2013",
doi = "10.1007/978-3-642-41278-3\_55",
language = "英语",
isbn = "9783642412776",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "455--462",
booktitle = "Intelligent Data Engineering and Automated Learning - 14th International Conference, IDEAL 2013, Proceedings",
note = "14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013 ; Conference date: 20-10-2013 Through 23-10-2013",
}