replace_chromosome.html ( File view )

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      <title>function f  = replace_chromosome(intermediate_chromosome,pro,pop)</title>
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      <h1>function f  = replace_chromosome(intermediate_chromosome,pro,pop)</h1>
      <p>This function replaces the chromosomes based on rank and crowding distance. Initially until the population size is reached
         each front is added one by one until addition of a complete front which results in exceeding the population size. At this
         point the chromosomes in that front is added subsequently to the population based on crowding distance.
      </p><pre class="codeinput">[N, m] = size(intermediate_chromosome);

<span class="comment">% Get the index for the population sort based on the rank</span>
[temp,index] = sort(intermediate_chromosome(:,M + V + 1));

clear <span class="string">temp</span> <span class="string">m</span>

<span class="comment">% Now sort the individuals based on the index</span>
<span class="keyword">for</span> i = 1 : N
    sorted_chromosome(i,:) = intermediate_chromosome(index(i),:);
<span class="keyword">end</span>

<span class="comment">% Find the maximum rank in the current population</span>
max_rank = max(intermediate_chromosome(:,M + V + 1));

<span class="comment">% Start adding each front based on rank and crowing distance until the</span>
<span class="comment">% whole population is filled.</span>
previous_index = 0;
<span class="keyword">for</span> i = 1 : max_rank
    <span class="comment">% Get the index for current rank i.e the last the last element in the</span>
    <span class="comment">% sorted_chromosome with rank i.</span>
    current_index = max(find(sorted_chromosome(:,M + V + 1) == i));
    <span class="comment">% Check to see if the population is filled if all the individuals with</span>
    <span class="comment">% rank i is added to the population.</span>
    <span class="keyword">if</span> current_index &gt; pop
        <span class="comment">% If so then find the number of individuals with in with current</span>
        <span class="comment">% rank i.</span>
        remaining = pop - previous_index;
        <span class="comment">% Get information about the individuals in the current rank i.</span>
        temp_pop = <span class="keyword">...</span>
            sorted_chromosome(previous_index + 1 : current_index, :);
        <span class="comment">% Sort the individuals with rank i in the descending order based on</span>
        <span class="comment">% the crowding distance.</span>
        [temp_sort,temp_sort_index] = <span class="keyword">...</span>
            sort(temp_pop(:, M + V + 2),<span class="string">'descend'</span>);
        <span class="comment">% Start filling individuals into the population in descending order</span>
        <span class="comment">% until the population is filled.</span>
        <span class="keyword">for</span> j = 1 : remaining
            f(previous_index + j,:) = temp_pop(temp_sort_index(j),:);
        <span class="keyword">end</span>
        <span class="keyword">return</span>;
    <span class="keyword">elseif</span> current_index &lt; pop
        <span class="comment">% Add all the individuals with rank i into the population.</span>
        f(previous_index + 1 : current_index, :) = <span class="keyword">...</span>
            sorted_chromosome(previous_index + 1 : current_index, :);
    <span class="keyword">else</span>
        <span class="comment">% Add all the individuals with rank i into the population.</span>
        f(previous_index + 1 : current_index, :) = <span class="keyword">...</span>
            sorted_chromosome(previous_index + 1 : current_index, :);
        <span class="keyword">return</span>;
    <span class="keyword">end</span>
    <span class="comment">% Get the index for the last added individual.</span>
    previous_index = current_index;
<span class="keyword">end</span>
</pre><p class="footer"><br>
         Published with MATLAB&reg; 7.0<br></p>
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