Titlebook: Intelligent Computational Optimization in Engineering; Techniques & Applica Mario Köppen,Gerald Schaefer,Ajith Abraham Book 2011 Springer-V

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Book 2011 this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for re

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Intelligent Computational Optimization in EngineeringTechniques & Applica

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Comparison of Evolutionary and Swarm Intelligence Methods for History Matching and Uncertainty Quantmatched reservoir models are used to quantify uncertainty of future hydrocarbon production from a field..Recently application of evolutionary and swarm intelligence algorithms to history matching problems has become very popular. Stochastic sampling algorithms are used to explore the model parameter

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Out-of-the-Box and Custom Implementation of Metaheuristics. A Case Study: The Vehicle Routing Problefocus on the vehicle routing problem with stochastic demand and on five among the most successful metaheuristics—namely, tabu search, simulated annealing, genetic algorithms, iterated local search, and ant colony optimization.We show that the relative performance of these algorithms strongly varies