The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Memory enhanced evolutionary algorithms for changing optimization problems
Abstract
Recently, there has been increased interest in evolutionary computation applied to changing optimization problems. The paper surveys a number of approaches that extend the evolutionary algorithm with implicit or explicit memory, suggests a new benchmark problem and examines under which circumstances a memory may be helpful. From these observations, we derive a new way to explore the benefits of a memory while minimizing its negative side effects.
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Citations
Cites
Nonstationary function optimization using genetic algorithm with dominance and diploidy
Goldberg, D. E., & Smith, R. E. (1987) · international conference on Genetic algorithms · Cited by 298
Case-Based Initialization of Genetic Algorithms
Ramsey, C. L., & Grefenstette, J. J. (1993) · Cited by 176
Adding memory to the Evolutionary Planner/Navigator
Trojanowski, K., Michalewicz, Z., & Xiao, J. (2002) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/icec.1997.592359 · Cited by 27
Cited by
Differential Evolution: A Survey of the State-of-the-Art
Das, S., & Suganthan, P. N. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2010.2059031 · Cited by 5,307
A comprehensive review of firefly algorithms
Fister, I., Fister, I., Yang, X.-S., & Brest, J. (2013) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2013.06.001 · Cited by 1,308
Evolutionary dynamic optimization: A survey of the state of the art
Nguyen, T. T., Yang, S., & Branke, J. (2012) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2012.05.001 · Cited by 656
Self-citationA survey of swarm intelligence for dynamic optimization: Algorithms and applications
Mavrovouniotis, M., Li, C., & Yang, S. (2017) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2016.12.005 · Cited by 585
Multiswarms, exclusion, and anti-convergence in dynamic environments
Blackwell, T., & Branke, J. (2006) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2005.857074 · Cited by 536
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Metadata
- Authors
- Branke, J.
- Venue
- Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)
- Publisher
- IEEE
- Published
- 2003-01-20
- Pages
- 1875-1882
- OpenAlex
- W2148458253
- Cited by
- 743
- References
- 3
- FWCI
- 16.20
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Branke, J. (2003). Memory enhanced evolutionary algorithms for changing optimization problems. Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406). https://doi.org/10.1109/cec.1999.785502
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
