A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems

<table><tr><td><table class="algorithm" id="alg1"><tr><td colspan="2">begin</td></tr><tr><td colspan="2">  Initialise Population;</td></tr><tr><td colspan="2">  Fitness Evaluation;</td></tr><tr><td colspan="2">  repeat</td></tr><tr><td colspan="2">   Population Diversity;</td></tr><tr><td colspan="2">   Sexual Selection;</td></tr><tr><td colspan="2">   Fuzzy Controller;</td></tr><tr><td colspan="2">    Fuzzy Crossover;</td></tr><tr><td colspan="2">    Fuzzy Mutation;</td></tr><tr><td colspan="2">   Replacement;</td></tr><tr><td colspan="2">  until the end condition is satisfied;</td></tr><tr><td colspan="2">  return the fittest solution found;</td></tr><tr><td colspan="2">end</td></tr></table></td></tr></table>

Journal of Applied Mathematics

alg1

Algorithm 1

Algorithm 1: A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems 