Full Description
This book examines the ways in which biological ideas—like evolution and swarm behavior—can be applied to tackle challenging issues in a variety of fields. A variety of cutting-edge methods, such as ant colony optimization and genetic algorithms, will be introduced to readers, along with their useful applications in disciplines like environmental science and engineering. Through the integration of nature and technology, this book illustrates how biomimicry might improve problem-solving techniques. Scientists, professionals, and anyone interested in the connection between environment and AI in computers will find it to be a useful resource.
Contents
Nature-Inspired Algorithms for Optimization of Microwave Circuits: Applications in Filters and Amplifiers.- Impact Of Optimization Algorithms With Energy Storage Systems In Frequency Management Of Standalone/Interconnected Power Systems.- Nature-Inspired Feature Selection in Unsupervised Learning.- Metaheuristic-Driven Design Optimization of Parabolic Trough Collectors: A Study of Nature-Inspired Algorithms.- Hybrid Optimization Algorithm based on ANFIS and Jaya: Application for Compliant Microgripper in Cell Phone Vibration Motor Assembly.- Ant Colony Optimization based approach to efficiently identify Suspicious processes in Memory.- Application of the ACO Algorithm-based controller in interlinked Nuclear Power Plant performance for frequency regulation.- Implementation of NSGA-III in Solving Constrained Multi-Objective Arduous Engineering Design Problems.- Nature-Inspired Computing for Engineering and Health Care Problem Solving.- Nature inspired computing for diagnosis in central nervous system disorder.- Enhancing Medical Image Analysis with Advanced Optimization Techniques: A Comparative Study of Machine Learning Model Optimizers.
