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