Numerical and Evolutionary Optimization
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Beschreibung
This book was established after the 6th 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.
Autor*in
Adriana Lara
Themen in »Numerical and Evolutionary Optimization«
genetic programming driving scoring functions driving events risky driving intelligent transportation systems mixture experiments single component constraints genetic algorithm IV-optimality criterion multiobjective optimization optimal control model order reduction model predictive control location routing problem rubber