Optimized Genetic Programming Applications: Emerging Research and Opportunities

Optimized Genetic Programming Applications: Emerging Research and Opportunities

Bahrudin Hrnjica (University of Bihac, Bosnia and Herzegovina) and Ali Danandeh Mehr (Antalya Bilim University, Turkey)
Projected Release Date: July, 2018|Copyright: © 2019 |Pages: 246
ISBN13: 9781522560050|ISBN10: 152256005X|EISBN13: 9781522560067|DOI: 10.4018/978-1-5225-6005-0

Description

Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data.

Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Fitness Function
  • Fracture Mechanics
  • Gene Expression Programming
  • Initialization Method
  • Multiclass Classification
  • Multigene Genetic Programming
  • Parallel Implementation
  • Supervised Machine Learning
  • Training Data
  • Visual Studio Code

Table of Contents and List of Contributors

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