Evolution Intelligence

Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research.

Throughout history, machines have been introduced to society to help automate tasks, improve productivity, and reduce costs. And, in just a few years, computers have evolved from centralized, number-crunching monoliths to separate, miniaturized systems that can be found in billions of interconnected items such as cellphones, wearable devices, automobiles, home appliances, and more.From humble evolutions in research papers and labs, artificial intelligence (AI)—which encompasses Machine Learning (ML) and Deep Learning (DL)—has matured in its many forms, infused in applications that can learn on their own and become progressively smarter with each interaction and transaction.

Journey to Artificial General Intelligence (AGI): Understanding, Challenges, and Implications