Research on Key Problems of Heuristic Evolutionary Algorithm for Dynamic High Dimensional Multi-Objective Optimization Problem
Li Yang, Liping Wang
Available Online May 2018.
- 10.2991/sser-18.2018.79How to use a DOI?
- Multi-objective optimization; Evolutionary algorithm; Target reduction algorithm; Dynamic high dimension
The multi-objective optimization method has a strong background of engineering application. In recent years, the problem of solving multi-objective optimization based on evolutionary algorithm has become a hot topic in the international academic circle. This paper studies the problem of dynamic application of high-dimensional multi-objective optimization problem heuristic evolutionary algorithm key technology and algorithm, which constructs online target dimension reduction algorithm model, alternating between the executive, the original problem is gradually transformed into smaller problems, improve the optimization algorithm, which provides a new method for solving high dimension the multi-objective optimization problem.
- © 2018, 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/).
Cite this article
TY - CONF AU - Li Yang AU - Liping Wang PY - 2018/05 DA - 2018/05 TI - Research on Key Problems of Heuristic Evolutionary Algorithm for Dynamic High Dimensional Multi-Objective Optimization Problem BT - Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018) PB - Atlantis Press SP - 374 EP - 378 SN - 2352-5398 UR - https://doi.org/10.2991/sser-18.2018.79 DO - 10.2991/sser-18.2018.79 ID - Yang2018/05 ER -