Hybrid Strategy of Multiple Optimization Algorithms Applied to 3-D Terrain Node Coverage of Wireless Sensor Network

Algorithm 1

SWOA.

Initialize parameters; M is the number of memeplex; ne is the number of iterations for each memeplex; Iter is the maximum number of iterations.

for1 g =1: Iter do.

 Calculate the fitness value of each whale.

 Sort individuals by fitness value.

 Define memeplex, divide the population into M memeplexes.

 for2 each memeplex do.

  for3 n =1:Ne do.

    Update global optimal value.

   for4 each solution do.

    for5 each dimension do.

     Update Memeplex by equation (1) to equation (9).

    End for5.

   End for4.

  End for3.

  Combine M memes into a population.

 End for2.

End for1.