how to scale the fitness scores minimization in matlab

To scale the fitness scores for minimization in MATLAB, you can use the following steps:

  1. Calculate the range of fitness scores: Find the difference between the maximum and minimum fitness scores.

  2. Subtract the minimum fitness score from all fitness scores: This ensures that the minimum fitness score becomes zero and shifts all other scores accordingly.

  3. Divide each fitness score by the range: This will scale the fitness scores between 0 and 1.

Here is an example code snippet that demonstrates how to scale fitness scores in MATLAB:

main.m
% Example fitness scores
fitness_scores = [50, 60, 70, 80, 90];

% Step 1: Calculate the range
score_range = max(fitness_scores) - min(fitness_scores);

% Step 2: Subtract the minimum fitness score
fitness_scores_shifted = fitness_scores - min(fitness_scores);

% Step 3: Divide each fitness score by the range
scaled_fitness_scores = fitness_scores_shifted / score_range;

% Display the original and scaled fitness scores
disp(['Original fitness scores: ' num2str(fitness_scores)]);
disp(['Scaled fitness scores: ' num2str(scaled_fitness_scores)]);
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In the above code, the variable fitness_scores represents the original fitness scores. After scaling, the variable scaled_fitness_scores will contain the scaled fitness scores.

Please note that scaling the fitness scores should be done carefully and depends on the specific problem and optimization algorithm being used.

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