A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-015-1820-4.pdf
Reference47 articles.
1. Amato P, Farina M (2005) An alife-inspired evolutionary algorithm for dynamic multi-objective optimization problems. Adv Soft Comput 32:113–125
2. Azzouz R, Bechikh S, Ben Said L (2015) Multi-objective optimization with dynamic constraints and objectives: new challenges for evolutionary algorithms. In: Genetic and evolutionary computation conference (GECCO 2015)
3. Azzouz R, Bechikh S, Said LB (2014) A multiple reference point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changes. In: Proceedings of the IEEE congress on evolutionary computation, pp 3168–3175
4. Blackwell T, Branke J (2006) Multiswarms, exclusion, and anti-convergence in dynamic environments. IEEE Trans Evolut Comput 10(4):459–472
5. Bosman PAN (2007) Learning and anticipation in online dynamic optimization. In: Evolutionary computation in dynamic and uncertain environments, pp 129–152
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