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This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The genetic algorithms are demonstrated to offer reliable search in complex spaces. The book presents high-quality research work by academics and researchers which is useful for young researchers and students.
List of contents
Variants of Genetics Algorithm and their Applications.- Genetic Algorithms Applications for Challenging Real-World Problems: Some Recent Advances and Future Trends.- Genetic Algorithm for Route Optimization.- Design weight minimization of a reinforced concrete beam through genetic algorithm and its variants.- IGA: an improved genetic algorithm for real-optimization problem.- Application of Genetic Algorithm based controllers in Wind Energy Systems for Smart Energy Management.- Application of Genetic Algorithm in Predicting Mental Illness: A Case Study of Schizophrenia.- Comparison of Biological Inspired Algorithm with Socio Inspired Technique on Load Frequency Control of Multisource Single Area Power system.- Genetic Algorithm and Accelerating Fuzzification for Optimum Sizing and Topology Design of Real-Size Tall Building Systems.- Evaluation of Underwater Images using Genetic Algorithm Monitored Preprocessing and Morphological Segmentation.
