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The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Erratum: A Species Conserving Genetic Algorithm for Multimodal Function Optimization

Li, Jian-Ping, Balazs, Marton E., Parks, Geoffrey T., Clarkson, P. John·2003·Evolutionary Computation

Abstract

This paper introduces a new technique called species conservation for evolving parallel subpopulations. The technique is based on the concept of dividing the population into several species according to their similarity. Each of these species is built around a dominating individual called the species seed. Species seeds found in the current generation are saved (conserved) by moving them into the next generation. Our technique has proved to be very effective in finding multiple solutions of multimodal optimization problems. We demonstrate this by applying it to a set of test problems, including some problems known to be deceptive to genetic algorithms.

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Metadata

Authors
Li, J.-P., Balazs, M. E., Parks, G. T., & Clarkson, P. J.
Venue
Evolutionary Computation
Publisher
MIT Press
Published
2003
Volume
11
Issue
1
Pages
107-109
ISSN
  • 1063-6560 (ISSN-L)
  • 1530-9304
OpenAlex
W1988383064
Cited by
393
References
20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Erratum: A Species Conserving Genetic Algorithm for Multimodal Function Optimization. https://app.cochat.ai/papers/10.1162/106365603321829023
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Li, J.-P., Balazs, M. E., Parks, G. T., & Clarkson, P. J. (2003). Erratum: A Species Conserving Genetic Algorithm for Multimodal Function Optimization. Evolutionary Computation. https://doi.org/10.1162/106365603321829023

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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.