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Titlebook: Genetic Algorithm Essentials; Oliver Kramer Book 2017 Springer International Publishing AG, part of Springer Nature 2017 Introduction to G

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TheoryIn the early decades of . theoretical investigations were seen as less important or even questionable.
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ApplicationsNumerous applications demonstrate the success of .. In this chapter we show various examples from different domains. An overwhelming number of applications showed the strength of . in convenient modeling, easy implementation, and efficient problem solving in the past.
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Reinhard Kurth,Walter K. Schwerdtfegerhe answer is simple and short: optimization problems. Optimization is the task of finding optimal solutions, which are solutions that have a better quality than others. We often seek for the global optimal solution, which is the best solution in the whole solution space. This can be a tedious task,
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Gottfried Hohmann,Barbara Fruth This chapter introduces concepts to support . with machine learning. For a detailed introduction to this field see [56]. Machine learning evolved to a very successful area of research in the last decades.
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978-3-319-84834-1Springer International Publishing AG, part of Springer Nature 2017
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