Applied genetic algorithm and its variants : case studies and new developments
Author(s)
Bibliographic Information
Applied genetic algorithm and its variants : case studies and new developments
（Springer tracts in nature-inspired computing / Series editors, Xin-She Yang, Nilanjan Dey, Simon Fong）
Springer, 2023
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Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
Variants of Genetics Algorithm and their ApplicationsGenetic Algorithms Applications for Challenging Real-World Problems: Some Recent Advances and Future TrendsGenetic Algorithm for Route OptimizationDesign weight minimization of a reinforced concrete beam through genetic algorithm and its variantsIGA: an improved genetic algorithm for real-optimization problemApplication of Genetic Algorithm based controllers in Wind Energy Systems for Smart Energy ManagementApplication of Genetic Algorithm in Predicting Mental Illness: A Case Study of SchizophreniaComparison of Biological Inspired Algorithm with Socio Inspired Technique on Load Frequency Control of Multisource Single Area Power systemGenetic Algorithm and Accelerating Fuzzification for Optimum Sizing and Topology Design of Real-Size Tall Building SystemsEvaluation of Underwater Images using Genetic Algorithm Monitored Preprocessing and Morphological Segmentation.
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