Using concepts from biology to improve problem-solving methods

Erik D. Goodman; Edward J. Rothwell; Ronald C. Averill

doi:10.1117/12.889070

12 May 2011 Using concepts from biology to improve problem-solving methods

Erik D. Goodman, Edward J. Rothwell, Ronald C. Averill

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Proceedings Volume 8059, Evolutionary and Bio-Inspired Computation: Theory and Applications V; 805902 (2011) https://doi.org/10.1117/12.889070
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Observing nature has been a cornerstone of engineering design. Today, engineers look not only at finished products, but imitate the evolutionary process by which highly optimized artifacts have appeared in nature. Evolutionary computation began by capturing only the simplest ideas of evolution, but today, researchers study natural evolution and incorporate an increasing number of concepts in order to evolve solutions to complex engineering problems. At the new BEACON Center for the Study of Evolution in Action, studies in the lab and field and in silico are laying the groundwork for new tools for evolutionary engineering design. This paper, which accompanies a keynote address, describes various steps in development and application of evolutionary computation, particularly as regards sensor design, and sets the stage for future advances.

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Erik D. Goodman, Edward J. Rothwell, and Ronald C. Averill "Using concepts from biology to improve problem-solving methods", Proc. SPIE 8059, Evolutionary and Bio-Inspired Computation: Theory and Applications V, 805902 (12 May 2011); https://doi.org/10.1117/12.889070

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KEYWORDS

Antennas

Metamaterials

Genetic algorithms

Electromagnetism

Switches

Gallium

Organisms

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