Explore
Applied (Meta)-Heuristic in Intelligent Systems
0 Ungluers have
Faved this Work
Login to Fave
Engineering and business problems are becoming increasingly difficult to solve due to the new economics triggered by big data, artificial intelligence, and the internet of things. Exact algorithms and heuristics are insufficient for solving such large and unstructured problems; instead, metaheuristic algorithms have emerged as the prevailing methods. A generic metaheuristic framework guides the course of search trajectories beyond local optimality, thus overcoming the limitations of traditional computation methods. The application of modern metaheuristics ranges from unmanned aerial and ground surface vehicles, unmanned factories, resource-constrained production, and humanoids to green logistics, renewable energy, circular economy, agricultural technology, environmental protection, finance technology, and the entertainment industry. This Special Issue presents high-quality papers proposing modern metaheuristics in intelligent systems.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 14 times via unglue.it ebook links.
- 14 - pdf (CC BY) at Unglue.it.
Keywords
- green energy
- History of engineering & technology
- hyperheuristics
- low carbons 
- matheuristics
- Technology, engineering, agriculture
- Technology: general issues
- Vehicle Routing
- wireless networking
Links
DOI: 10.3390/books978-3-0365-5876-9Editions