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Application of Cuckoo Search Algorithm in Bio-inspired Computing Using HPC Platform

  • Tabrej Khan

摘要

This chapter shows the application of the Cuckoo Search Algorithm (CSA) in bio-inspired computing, emphasizing its utilization on a High-Performance Computing (HPC) platform. CSA, inspired by the brood parasitism behavior of cuckoo birds, is a nature-inspired optimization algorithm known for its prowess in solving complex optimization problems. The mathematical model of CSA is expounded, and Python code examples are provided to illustrate its implementation. The chapter then explores the integration of CSA with HPC, emphasizing the parallelization of the algorithm to exploit the computational power of modern HPC systems. This chapter also looks into the application of the Cuckoo Search Algorithm (CSA) in bio-inspired computing, emphasizing its utilization on a High-Performance Computing (HPC) platform. CSA, inspired by the brood parasitism behavior of cuckoo birds, is a nature-inspired optimization algorithm known for its prowess in solving complex optimization problems.