Task allocation process plays great role in either enhancing the reliability of the system or degrading it, especially, in a heterogeneous distributed environment. Therefore, the exact algorithms for task allocation a...
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ISBN:
(纸本)9781450353922
Task allocation process plays great role in either enhancing the reliability of the system or degrading it, especially, in a heterogeneous distributed environment. Therefore, the exact algorithms for task allocation are not recommended as they consume a lot of amount of time which is reflected on the age of system's components, consequently their reliability. For that, an approximate approach based bio-inspired is used. This approach is a modified version of the classical cuckoo search algorithm (CS). This approach is called, Modified discretecuckoo Search algorithm (MDCS). In this version, all cuckoo parameters are modified dynamically according to their fitness which allows a speed convergence toward the optimal solution. To confirm the efficiency and effectiveness of MDCS, its results are tested and compared with those of Hybrid Particle Swarm Optimization (HPSO) and discretecuckoo Search (DCS) which is the same as MDCS but with static parameters. The effectiveness of MDCS over HPSO and DCS are reported.
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