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The best solution

Author

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  • William J. Sutherland

    (the Centre for Ecology, Evolution and Conservation, School of Biological Sciences, the University of East Anglia)

Abstract

Optimization: this beguilingly simply idea allows biologists not only to understand current adaptations, but also to predict new designs that may yet evolve.

Suggested Citation

  • William J. Sutherland, 2005. "The best solution," Nature, Nature, vol. 435(7042), pages 569-569, June.
    • Handle: RePEc:nat:nature:v:435:y:2005:i:7042:d:10.1038_435569a
    DOI: 10.1038/435569a
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    Cited by:

    1. Lima de Miranda, Katharina & Neyse, Levent & Schmidt, Ulrich, 2018. "Risk Preferences and Predictions about Others: No Association with 2D:4D Ratio," Open Access Publications from Kiel Institute for the World Economy 230949, Kiel Institute for the World Economy (IfW Kiel).
    2. Chen, Bingzhang & Smith, S. Lan, 2018. "Optimality-based approach for computationally efficient modeling of phytoplankton growth, chlorophyll-to-carbon, and nitrogen-to-carbon ratios," Ecological Modelling, Elsevier, vol. 385(C), pages 197-212.
    3. Pablo Brañas-Garza & Jaromír Kovářík & Levent Neyse, 2013. "Second-to-Fourth Digit Ratio Has a Non-Monotonic Impact on Altruism," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.

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