The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Opposition-Based Learning: A New Scheme for Machine Intelligence
Abstract
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions are the foundation of this new approach. Examples are provided. Possibilities for extensions of existing learning algorithms are discussed. Preliminary results are provided
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Cites
An Introduction to Genetic Algorithms
Mitchell, M. (1996) · doi:10.7551/mitpress/3927.001.0001 · Cited by 11,340
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
Opposition-Based Differential Evolution
Rahnamayan, S., Tizhoosh, H. R., & Salama, M. M. A. (2008) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.894200 · Cited by 1,630
Self-citationA comprehensive survey: Whale Optimization Algorithm and its applications
Gharehchopogh, F. S., & Gholizadeh, H. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2019.03.004 · Cited by 758
Metaheuristics in large-scale global continues optimization: A survey
Mahdavi, S., Shiri, M. E., & Rahnamayan, S. (2015) · Information Sciences · doi:10.1016/j.ins.2014.10.042 · Cited by 465
An improved Opposition-Based Sine Cosine Algorithm for global optimization
Abd Elaziz, M., Oliva, D., & Xiong, S. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.07.043 · Cited by 429
Metadata
- Authors
- Tizhoosh, H. R.
- Venue
- International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)
- Publisher
- IEEE
- Published
- 2006-05-25
- Volume
- 1
- Pages
- 695-701
- OpenAlex
- W2162745921
- Cited by
- 2,131
- References
- 1
- FWCI
- 15.37
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Tizhoosh, H. R. (2006). Opposition-Based Learning: A New Scheme for Machine Intelligence. International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). https://doi.org/10.1109/cimca.2005.1631345
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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.
