Preference Incorporation into Evolutionary Multiobjective Optimization using Preference Information Implicit in a Set of Assignment Examples
Laura Cruz-Reyes, Eduardo Fernandez, Rafael Olmedo, Patricia Sanchez, Jorge Navarro
Available Online October 2013.
- https://doi.org/10.2991/.2013.22How to use a DOI?
- evolutionary algorithms; multiobjective op-timization; preference incorporation; multicriteria sorting
- Nowadays, most approaches in the evolutionary multiobjective optimization literature concentrate mainly on adapting an evolutionary algorithm to generate an ap-proximation of the Pareto frontier. However, this does not solve the problem. We present a new idea to incorporate into a MOEA the Decision Maker (DM) preferences, ex-pressed in a set of solutions assigned to ordered catego-ries. We modified the Non-dominated Sorting Genetic Algorithm 2 (NSGA2) to make selective pressure towards non-dominated solutions that belong to the most preferred category. In several instances, on the project portfolio problem, our proposal outperforms the standard NSGA2, achieving non-dominated solutions that best match the DM’s preferences.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Laura Cruz-Reyes AU - Eduardo Fernandez AU - Rafael Olmedo AU - Patricia Sanchez AU - Jorge Navarro PY - 2013/10 DA - 2013/10 TI - Preference Incorporation into Evolutionary Multiobjective Optimization using Preference Information Implicit in a Set of Assignment Examples BT - Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support PB - Atlantis Press SP - 179 EP - 187 SN - 1951-6851 UR - https://doi.org/10.2991/.2013.22 DO - https://doi.org/10.2991/.2013.22 ID - Cruz-Reyes2013/10 ER -