The Elite Optimality Procedure for Multi-Objective Evolutionary Algorithms

DOI

10.2991/amsm-16.2016.31How to use a DOI?

Keywords

multi-objective imization;multi-objective evolutionary algorithms; pareto front; elite optimality

Abstract

Multi-Objective Evolutionary Algorithms (MOEAs) are likely used to identify non-dominated solutions or Pareto front (the known Pareto front) in multi-objective optimization problems. The quality of Pareto front depends on evolution strategies that are evaluated under performance metrics of generational distance, spacing, and error ratio. In this paper, a procedure of Elite optimality is proposed to transform the known Pareto front (PFknown) into the true Pareto front (PFtrue). The Elite optimality procedure improves the quality of the Pareto fronts that deals with the biggest challenge in the multi-objective evolutionary algorithms.

Copyright

© 2016, 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  - Truong Hong Trinh
PY  - 2016/05
DA  - 2016/05
TI  - The Elite Optimality Procedure for Multi-Objective Evolutionary Algorithms
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 133
EP  - 137
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.31
DO  - 10.2991/amsm-16.2016.31
ID  - Trinh2016/05
ER  -