Research on multi - objective optimization algorithm based on bucket principle
Honggao Wei, Shucheng Huang, Zhicheng Miao
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.121How to use a DOI?
- Engineering design problem, Multi-objective, Constraint condition, Bucket principle, Genetic algorithm, Optimization algorithm.
- 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.
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 - 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 - https://doi.org/10.2991/icmeit-17.2017.121 ID - Wei2017/05 ER -