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EVOLVE ¿ A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII
Hauptbeschreibung
Comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems
Inhaltsverzeichnis
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.
ISBN-13:
9783319841335
Veröffentl:
2018
Erscheinungsdatum:
20.07.2018
Seiten:
220
Autor:
Michael Emmerich
Gewicht:
341 g
Format:
235x155x13 mm
Serie:
662, Studies in Computational Intelligence
Sprache:
Englisch
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