Gain insight into the world of nature-inspired optimization techniques and algorithms. This
book will prepare you to apply different nature-inspired optimization techniques to solve
problems using Java. You'll start with an introduction to the hidden algorithms that nature
uses and find the approximate solutions to optimization problems. You'll then see how living
creatures such as fish and birds are able to perform computation to solve specific optimization
tasks. This book also covers various nature-inspired algorithms by reviewing code examples for
each one followed by crisp and clear explanations of the algorithm using Java code. You'll
examine the use of each algorithm in specific industry scenarios such as fleet scheduling in
supply chain management and shop floor management in industrial and manufacturing
applications. Nature-Inspired Optimization Algorithms with Java is your pathway to
understanding a variety of optimization problems that exist in various industries and domains
and it will develop an ability to apply nature-inspired algorithms to find approximate
solutions to them. What You'll Learn Study optimization and its problems Examine
nature-inspired algorithms such as Particle Swarm Gray wolf etc. See how nature-inspired
algorithms are being used to solve optimization problems Use Java for solving the different
nature-inspired algorithms with real-world examples Who This Book Is For Software developers
architects who are looking to hone their skills in area of problem solving related to
optimization with Java.
