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.
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.
Discusses genetic algorithms which are used to solve a variety of optimization problems Provides fundamental concepts related to various types of genetic algorithms and practical applications Serves as a reference for the researchers working in this area
Nilanjan Dey
Optimization Nature-inspired Computing Genetic Algorithm Meta-heuristics Biological Inspired Algorithm Search Algorithm