EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering th...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Emmerich, Michael (Επιμελητής έκδοσης), Deutz, André (Επιμελητής έκδοσης), Schütze, Oliver (Επιμελητής έκδοσης), Legrand, Pierrick (Επιμελητής έκδοσης), Tantar, Emilia (Επιμελητής έκδοσης), Tantar, Alexandru-Adrian (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Studies in Computational Intelligence, 662
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms
  • Global Multi-Objective Optimization by Means of Cell Mapping Techniques
  • Percentile via Polynomial Chaos Expansion: Bridging Robust Optimization with Reliability
  • Evolutionary Equilibrium Detection in Multicriteria Games
  • A New Estimation of Distribution Algorithm for Nash Equilibria Detection
  • Multi-Objective Optimisation by Self-Adaptive Evolutionary Algorithm
  • Evidence Based Multidisciplinary Robust Optimization for Mars Micro Entry Probe Design
  • A Simulation-Based Algorithm for the Probabilistic Traveling Salesman Problem
  • Average Cuboid Volume as a Convergence Indicator and Selection Criterion for Multi-Objective Biochemical Optimization.