This book features 15 chapters based on the Numerical and
Evolutionary Optimization (NEO 2017) workshop, held from September
27 to 29 in the city of Tijuana, Mexico. The event gathered
researchers from two complimentary fields to discuss the theory,
development and application of state-of-the-art techniques to
address search and optimization problems. The lively event included
7 invited talks and 64 regular talks covering a wide range of
topics, from evolutionary computer vision and machine learning with
evolutionary computation, to set oriented numeric and steepest
descent techniques. Including research submitted by the NEO
community, the book provides informative and stimulating material
for future research in the field.
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