Quiroz, Marcela <br/><br/>
Numerical and Evolutionary Optimization 2020 

 - Basel, Switzerland  MDPI - Multidisciplinary Digital Publishing Institute  2021 
 - 1 electronic resource (364 p.) 
<br/><br/> Open Access 
<br/><br/> This book was established after the 8th 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>books978-3-0365-1670-7 9783036516691 9783036516707 
<br/><br/><label>Standard No.: </label>10.3390/books978-3-0365-1670-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Research & information: general<br/>Mathematics & science
<br/><br/><label>Subjects--Index Terms: </label>robust optimization differential evolution ROOT optimization framework drainage rehabilitation overflooding pipe breaking VCO CMOS differential pair PVT variations Monte Carlo analysis multi-objective optimization Pareto Tracer continuation constraint handling surrogate modeling multiobjective optimization evolutionary algorithms kriging method ensemble method adaptive algorithm liquid storage tanks base excitation artificial intelligence Multi-Gene Genetic Programming computational fluid dynamics finite volume method JSSP CMOSA CMOTA chaotic perturbation fixed point arithmetic FP16 pseudo random number generator incorporation of preferences multi-criteria classification decision-making process multi-objective evolutionary optimization outranking relationships decision maker profile profile assessment region of interest approximation optimization using preferences hybrid evolutionary approach forecasting Convolutional Neural Network LSTM COVID-19 deep learning trust region methods multiobjective descent derivative-free optimization radial basis functions fully linear models decision making process cognitive tasks recommender system project portfolio selection problem usability evaluation multi-objective portfolio optimization problem trapezoidal fuzzy numbers density estimators steady state algorithms protein structure prediction Hybrid Simulated Annealing Template-Based Modeling structural biology Metropolis optimization linear programming energy central