Introduction
An example of how a genetic algorithm can be applied to optimize standard mathematical functions, such as the Rosenbrock function. (Image obtained from the Wikipedia page.)
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Introduction
An example of how a genetic algorithm can be applied to optimize standard mathematical functions, such as the Rosenbrock function. (Image obtained from the Wikipedia page.)
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This post implements a previous post that explains how to convert 32-bit floating point numbers to binary numbers in the IEEE 754 format. What we have is some C++ / Java / Python routines that will allows us to convert a floating point value into it’s equivalent binary counterpart, using the standard IEEE 754 representation consisting of the sign bit, exponent and mantissa (fractional part).
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This post explains how to convert floating point numbers to binary numbers in the IEEE 754 format. A good link on the subject of IEEE 754 conversion exists at Thomas Finleys website. For this post I will stick with the IEEE 754 single precision binary floating-point format: binary32. See this other posting for C++, Java and Python implementations for converting between the binary and decimal formats.
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