Discovering Evolutionary Computing: A Beginner’s Guide

“Discovering Evolutionary Computing: A Beginner’s Guide” is an essential resource for those venturing into the fascinating realm of evolutionary computing. The book offers a beginner-friendly exploration of various evolutionary algorithms, including Genetic Algorithms (GA), Evolution Strategies (ES), and Evolutionary Programming (EP). It delves into the core principles of Evolutionary Computing (EC), unraveling the mechanisms behind optimization processes.

Readers will gain insights into Estimation of Distribution Algorithms (EDA), Genetic Programming (GP), Learning Classifier Systems (LCS), and Memetic Algorithms, discovering how these techniques contribute to problem-solving and optimization. The book extends its scope to Evolutionary Robotics, showcasing the application of evolutionary principles in the realm of robotics. Whether you are a novice eager to grasp the basics or an enthusiast looking to delve into advanced topics, this beginner’s guide provides a comprehensive introduction to the diverse and dynamic field of evolutionary computing.

Keywords

Estimation of Distribution Algorithms (EDA), Evolution Strategies (ES), Evolutionary Algorithm (EA), Evolutionary Computing (EC), Evolutionary Programming (EP), Evolutionary Robotics, Genetic Algorithms (GA), Genetic Programming (GP), Learning Classifier Systems (LCS), Memetic Algorithms, Optimization