Details
- Autor(en) / Beteiligte
- Titel
- Numerical and Evolutionary Optimization 2020
- Ort / Verlag
- Basel, Switzerland: MDPI - Multidisciplinary Digital Publishing Institute
- Erscheinungsjahr
- 2021
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 3036516700, 9783036516691, 9783036516707, 3036516697DOI: 10.3390/books978-3-0365-1670-7Titel-ID: cdi_oapen_doabooks_76746
- Format
- –
- Schlagworte
- adaptive algorithm, artificial intelligence, base excitation, Book Industry Communication, chaotic perturbation, CMOS differential pair, CMOSA, CMOTA, cognitive tasks, computational fluid dynamics, constraint handling, continuation, Convolutional Neural Network, COVID-19, decision maker profile, decision making process, deep learning, density estimators, derivative-free optimization, differential evolution, drainage rehabilitation, energy central, ensemble method, evolutionary algorithms, finite volume method, fixed point arithmetic, forecasting, FP16, fully linear models, hybrid evolutionary approach, Hybrid Simulated Annealing, incorporation of preferences, JSSP, kriging method, linear programming, liquid storage tanks, LSTM, Mathematics & science, Metropolis, Monte Carlo analysis, multi-criteria classification, Multi-Gene Genetic Programming, multi-objective evolutionary optimization, multi-objective optimization, multi-objective portfolio optimization problem, multiobjective descent, multiobjective optimization, optimization, optimization framework, optimization using preferences, outranking relationships, overflooding, Pareto Tracer, pipe breaking, profile assessment, project portfolio selection problem, protein structure prediction, pseudo random number generator, PVT variations, radial basis functions, recommender system, Reference, information & interdisciplinary subjects, region of interest approximation, Research & information: general, robust optimization, ROOT, steady state algorithms, structural biology, surrogate modeling, Template-Based Modeling, trapezoidal fuzzy numbers, trust region methods, usability evaluation, VCO