An ALife-Inspired Evolutionary Algorithm for Dynamic Multiobjective Optimization Problems

Author:

Amato P.,Farina M.

Publisher

Springer-Verlag

Reference22 articles.

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2. P.M. Reed and B.S. Minsker. Discovery & Negotiation using Multiobjective Genetic Algorithms: A Case Study in Groundwater Monitoring Design. In Proceedings of Hydroinformatics 2002, Cardiff, UK, 2002.

3. Kalyanmoy Deb and Tushar Goel. A Hybrid Multi-Objective Evolutionary Approach to Engineering Shape Design. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pp. 385–399. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

4. K.C. Tan, K. Sengupta, T.H. Lee, and R. Sthikannan. Autonomous Registration of Disparate Spatial Data via an Evolutionary Algorithm Toolbox. In Congress on Evolutionary Computation (CEC’2002), volume 1, pp. 31–36, Piscataway, New Jersey, May 2002. IEEE Service Center.

5. F. Vavak, K. A. Jukes, and T. C. Fogarty. Performance of a genetic algorithm with variable local search range relative to frequency of the environmental changes. Genetic Programming 1998: Proceedings of the Third Annual Conference, 1998.

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