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DEATH TIME OPTIMIZATION https://books.google.de/books?id=UXogQWx8_HEC
Experimental Methods for the Analysis of Optimization Algorithms
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Introduction
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Altmetric BadgeChapter 2 The Future of Experimental Research
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Altmetric BadgeChapter 3 Design and Analysis of Computational Experiments: Overview
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Altmetric BadgeChapter 4 Experimental Methods for the Analysis of Optimization Algorithms
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Altmetric BadgeChapter 5 The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and Comparison
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Altmetric BadgeChapter 6 Algorithm Engineering: Concepts and Practice
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Altmetric BadgeChapter 7 Algorithm Survival Analysis
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Altmetric BadgeChapter 8 On Applications of Extreme Value Theory in Optimization
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Altmetric BadgeChapter 9 Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization
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Altmetric BadgeChapter 10 Mixed Models for the Analysis of Optimization Algorithms
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Altmetric BadgeChapter 11 Tuning an Algorithm Using Design of Experiments
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Altmetric BadgeChapter 12 Using Entropy for Parameter Analysis of Evolutionary Algorithms
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Altmetric BadgeChapter 13 F-Race and Iterated F-Race : An Overview
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Altmetric BadgeChapter 14 The Sequential Parameter Optimization Toolbox
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Altmetric BadgeChapter 15 Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches
