Research and Technical Writing for Science and Engineering

CHAPTER 7How to Do Experiments

DOI: 10.1201/​9781003139058-7

CONTENTS

1. 7.1 The importance of experiments in Computer Science

2. 7.2 Experimentation in Computer Science

   • 7.2.1 Empirical Dimensions

   • 7.2.2 Subjects and Topics

   • 7.2.3 Activities

3. 7.3 Five Perspectives on Experimentation in Computer Science

   • 7.3.1 Feasibility

   • 7.3.2 Trial

   • 7.3.3 Field

   • 7.3.4 Comparison

   • 7.3.5 Controlled

4. 7.4 Machine learning experimental pipelines

   • 7.4.1 How a Machine Learning Model is Built

5. 7.5 An adaptive genetic algorithm for memory allocation

   • 7.5.1 An Adaptive Genetic Solution

   • 7.5.2 Genetic Algorithm Operations

6. 7.6 Summary

This chapter describes how to experiment with the algorithms designed for solving the problems. The experimentation in scientific and engineering ...