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Numerical and Evolutionary Optimization 2020
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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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Keywords

  • adaptive algorithm
  • artificial intelligence
  • base excitation
  • 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
  • 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

Links

DOI: 10.3390/books978-3-0365-1670-7

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