Use a Genetic Algorithm to find the value of x that maximizes XTC f(x) = sin( in the interval 0 ≤ x ≤ 255 256. where x is restricted to being an integer. Assume that a binary representation for the chromosome is used. Which one is the correct chromosome in random? 01001 0100101 11001101 1010101010

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### Using Genetic Algorithms to Optimize Functions

#### Problem Statement

Use a Genetic Algorithm to find the value of \( x \) that maximizes the function:

\[ f(x) = \sin\left(\frac{x \pi}{256}\right) \]

given that \( x \) is an integer in the interval \( 0 \leq x \leq 255 \).

#### Details

Assume that a binary representation for the chromosome is used. Determine which one of the following binary representations is a valid chromosome at random:

1. \( 01001 \)
2. \( 0100101 \)
3. \( 11001101 \)
4. \( 1010101010 \)

#### Analysis

When using genetic algorithms, chromosomes are typically represented in binary to encode the possible values of \( x \). The binary length of the chromosome must be sufficient to represent all values within the given interval \( 0 \leq x \leq 255 \). Since 255 is represented as \( 11111111 \) in binary, exactly 8 bits are required.

Considering this requirement:

- \( 01001 \) (5 bits, insufficient)
- \( 0100101 \) (7 bits, insufficient)
- \( 11001101 \) (8 bits, valid length)
- \( 1010101010 \) (10 bits, more than sufficient but not necessary)

Thus, the correct chromosome in random among the given options is:

**Option 3: \( 11001101 \)**
Transcribed Image Text:### Using Genetic Algorithms to Optimize Functions #### Problem Statement Use a Genetic Algorithm to find the value of \( x \) that maximizes the function: \[ f(x) = \sin\left(\frac{x \pi}{256}\right) \] given that \( x \) is an integer in the interval \( 0 \leq x \leq 255 \). #### Details Assume that a binary representation for the chromosome is used. Determine which one of the following binary representations is a valid chromosome at random: 1. \( 01001 \) 2. \( 0100101 \) 3. \( 11001101 \) 4. \( 1010101010 \) #### Analysis When using genetic algorithms, chromosomes are typically represented in binary to encode the possible values of \( x \). The binary length of the chromosome must be sufficient to represent all values within the given interval \( 0 \leq x \leq 255 \). Since 255 is represented as \( 11111111 \) in binary, exactly 8 bits are required. Considering this requirement: - \( 01001 \) (5 bits, insufficient) - \( 0100101 \) (7 bits, insufficient) - \( 11001101 \) (8 bits, valid length) - \( 1010101010 \) (10 bits, more than sufficient but not necessary) Thus, the correct chromosome in random among the given options is: **Option 3: \( 11001101 \)**
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