  This book introduces the concept of Algogens, a promising integration of
generative AI with traditional algorithms aimed at improving problem-solving
techniques across various fields. It provides an accessible overview of how
Algogens combine AI's innovative potential with algorithms' reliability to
tackle complex challenges more effectively than either could alone.
  The text explores the basics of Algogens, their development, applications,
and advantages, such as better adaptability and efficiency. Through examples
and case studies, readers will learn about Algogens' practical uses today and
their potential for future cybersecurity, healthcare, and environmental science
innovation.
  Acknowledging new technologies' challenges and ethical considerations, the
book offers a balanced look at the prospects and obstacles facing Algogens. It
invites a broad audience, including experts and newcomers, to engage with the
topic and consider Algogens' role in advancing our problem-solving
capabilities.
  This work is presented as a starting point for anyone interested in the
intersection of AI and algorithms, encouraging further exploration and
discussion on this emerging field. It aims to spark curiosity and contribute to
the ongoing conversation about how technology can evolve to meet the complex
demands of the AI era.
