Numerical and Evolutionary Optimization 2021 / / Marcela Quiroz [and four others.].

• VerfasserIn: Quiroz, Marcela,
• TeilnehmendeR: Fraga, Luis Gerardo de la,; Lara, Adriana,; Trujillo, Leonardo,; Schütze, Oliver,
• Place / Publishing House: Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (214 pages)

This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.