An Improved Adaptive Clone Genetic Algorithm for Task Allocation Optimization in ITWSNs

Algorithm 1

IACGA’s algorithm pseudocode.

IACGA for Task Allocation Optimization in ITWSNs

 BEGIN

  Initialize the population, using random methods;

  Set generations = maximum iteration;

  For generation =1: generations

   Calculate the fitness of the parent;

   Find the individuals with the highest fitness;

   Clone the best individual;

   Immune acceptance;

   if The population fitness converge

    Increase the probability of crossover and mutation;

     else

      Reduce the probability of crossover and mutation;

   end

   Crossover operation;

   Mutation operation;

  end For

  Output the best task allocation scheme;

 END