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Explore the transformative potential of genetic algorithms in revolutionizing power system design and management with "Genetic Optimization Techniques For Sizing And Management Of Modern Power Systems." This comprehensive guide delves into the application of evolutionary computation for optimizing critical aspects of power systems, including resource allocation, grid infrastructure development, and smart grid technologies. Gain insights into enhancing system efficiency, reliability, and sustainability through practical case studies and cutting-edge research. Learn how to apply genetic algorithms to solve complex problems related to sizing renewable energy sources, optimizing energy storage systems, and enhancing the overall performance of modern power grids. This book offers a valuable resource for researchers, engineers, and decision-makers seeking innovative solutions for the challenges facing the power industry.