Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Research on multi - objective optimization algorithm based on bucket principle

Authors
Honggao Wei, Shucheng Huang, Zhicheng Miao
Corresponding Author
Honggao Wei
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.121How to use a DOI?
Keywords
Engineering design problem, Multi-objective, Constraint condition, Bucket principle, Genetic algorithm, Optimization algorithm.
Abstract
Most engineering design problems have multiple objectives, under the premise of satisfying constraints, it is necessary to maximize (or minimize) these goals at the same time. Under normal circumstances, multi-target corresponds to a variety of solutions, which usually use genetic algorithm to find its Pareto solution. As the current genetic algorithm to solve the problem of the process is too complicated, this paper uses the method of bucket and genetic algorithm to solve the multi-objective optimization problem considering two targets. By comparing the experimental results, it has achieved good results. The steps of this algorithm are relatively simple, and provides a new way to solve the multi-objective optimization problem under certain constraints.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.121How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Honggao Wei
AU  - Shucheng Huang
AU  - Zhicheng Miao
PY  - 2017/05
DA  - 2017/05
TI  - Research on multi - objective optimization algorithm based on bucket principle
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.121
DO  - https://doi.org/10.2991/icmeit-17.2017.121
ID  - Wei2017/05
ER  -