Abstract
Natural computing techniques first appeared in the 1960s and gained more and more importance with the increase of computing resources. Today they are among the established techniques for black-box optimization which characterizes tasks where an analytical model cannot be obtained and the optimization technique can only utilize the function evaluations themselves. A classical application area is simulation-based optimization. Here, natural computing techniques have been applied with great success. But before we can focus on the application areas, we first have to take a closer look at what we mean when we refer to optimization, simulation, and natural computing. The present chapter is devoted to a concise introduction to the field.
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Meyer-Nieberg, S., Leopold, N., Uhlig, T. (2020). Introduction to Simulation-Based Optimization. In: Natural Computing for Simulation-Based Optimization and Beyond. SpringerBriefs in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-030-26215-0_1
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DOI: https://doi.org/10.1007/978-3-030-26215-0_1
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