A novel non-dominated sorting algorithm for evolutionary multi-objective optimization

Author:

Bao Chunteng,Xu Lihong,Goodman Erik D.,Cao Leilei

Funder

National High-Tech R&D Program of China

National Natural Science Foundation of China

U.S. National Science Foundation’s BEACON Center

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference57 articles.

1. Pareto-, aggregation-, and indicator-based methods in many-objective optimization, Evolutionary Multi-Criterion Optimization;Wagner,2007

2. Evolutionary many-objective optimization: a short review;Ishibuchi;CEC (Conference on Evolutionary Computation),2008 in IEEE World Congress on Computational Intelligence,2008

3. Multiobjective evolutionary algorithms: a survey of the state of the art;Zhou;Swarm Evol. Comput.,2011

4. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach;Zitzler;IEEE Trans. Evol. Comput.,1999

5. Multiobjective flexible job shop scheduling using memetic algorithms;Yuan;IEEE Trans. Autom. Sci. Eng.,2015

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