Research on multi - objective optimization algorithm based on bucket principle

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 662
EP  - 669
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.121
DO  - 10.2991/icmeit-17.2017.121
ID  - Wei2017/05
ER  -