Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg1"><tr><td>(1)</td><td>Create C cats</td></tr><tr><td>(2)</td><td>Randomly initialize cat position values with values between 1 and 0</td></tr><tr><td>(3)</td><td>Initialize velocities and flag of each cat;</td></tr><tr><td>(4)</td><td>while (i &lt; NumberIterations) do</td></tr><tr><td>(5)</td><td>  Evaluate cats according to fitness function</td></tr><tr><td>(6)</td><td>  Store the position of the best cat, which has best fitness</td></tr><tr><td>(7)</td><td>for (x = 1 to C) do</td></tr><tr><td>(8)</td><td>   if (randomNumber &lt; MixtureRatio) then</td></tr><tr><td>(9)</td><td>    Apply seeking mode process to catx</td></tr><tr><td>(10)</td><td>   else</td></tr><tr><td>(11)</td><td>    Apply tracing mode process to catx</td></tr><tr><td>(12)</td><td>   end if</td></tr><tr><td>(13)</td><td>  Evaluate new solution, update values</td></tr><tr><td>(14)</td><td>   end for</td></tr><tr><td>(15)</td><td>end while</td></tr><tr><td>(16)</td><td>Postprocess results and visualization.</td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

alg1

Algorithm 1

Algorithm 1: Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios 