Numerical and Evolutionary Optimization – NEO 2017

Explore the fascinating world of optimization with "Numerical and Evolutionary Optimization – NEO 2017," edited by a team of experts and published by Springer Nature Switzerland AG in 2018. This comprehensive volume comprises 15 insightful chapters derived from the renowned NEO 2017 workshop, which took place from September 27 to 29 in Tijuana, Mexico. With a total of 312 pages, this softcover reprint of the original 1st edition (2019) delves into the latest advancements and methodologies in numerical and evolutionary optimization. Ideal for researchers, practitioners, and students alike, this book serves as an essential resource for anyone looking to enhance their understanding of optimization techniques. Don't miss the opportunity to add this valuable work to your collection!