Numerical and Evolutionary Optimization 2020
Material type:
ArticleLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021Description: 1 electronic resource (364 p.)ISBN: - books978-3-0365-1670-7
- 9783036516691
- 9783036516707
- Research & information: general
- Mathematics & science
- 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
Open Access star Unrestricted online access
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.
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