Research on Key Problems of Heuristic Evolutionary Algorithm for Dynamic High Dimensional Multi-Objective Optimization Problem

DOI

10.2991/sser-18.2018.79How to use a DOI?

Keywords

Multi-objective optimization; Evolutionary algorithm; Target reduction algorithm; Dynamic high dimension

Abstract

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.

Copyright

© 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/).

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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  -