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Analysis of the Performance of Relatively New Nature-Inspired Computing Algorithms

H. Fathima

Abstract


Nature-inspired computation is becoming increasingly popular and effective as a problem-solving tool in optimization, computational intelligence, soft computing, and data science. The literature in this field has recently expanded rapidly, with the appearance of new algorithms and applications.. Nature-Inspired Computation Algorithms is a contemporary reference that examines current state-of-the-art breakthroughs in nature-inspired algorithms, theory, and applications. It reviews and documents new developments, with a focus on nature-inspired Algorithms, theoretical analysis, and implementation advice There are case studies of various real-world applications that balance theory explanation with practical implementation. Computation Inspired by Nature Algorithms is a book for researchers and graduate students in computer science, engineering, data science, and management science who want to learn more about algorithms, theory, and implementation in the domains of nature inspired computation. The process of delivering data from a source to a destination in a network is known as routing. The simulation time and throughput determine the output of these algorithms. The tests are run on the NS2 software platform, which is built on the fundamentals of C, C++, and TCL Scripting Language. The algorithm's results revealed that it outperforms the other algorithms in terms of packet delivery between networks.


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