1 option
New Metaheuristic Schemes: Mechanisms and Applications / by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros.
Springer eBooks EBA - Engineering Collection 2024 Available online
Springer eBooks EBA - Engineering Collection 2024- Format:
- Book
- Author/Creator:
- Cuevas, Erik.
- Series:
- Intelligent Systems Reference Library, 1868-4408 ; 246
- Language:
- English
- Subjects (All):
- Cooperating objects (Computer systems).
- Machine learning.
- Artificial intelligence.
- Computer science.
- Cyber-Physical Systems.
- Machine Learning.
- Artificial Intelligence.
- Computer Science.
- Local Subjects:
- Cyber-Physical Systems.
- Machine Learning.
- Artificial Intelligence.
- Computer Science.
- Physical Description:
- 1 online resource (280 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. These new methods introduce interesting mechanisms and innovative collaborative strategies that facilitate the efficient exploration and exploitation of extensive search spaces characterized by numerous dimensions. The objective of this book is to present advancements that discuss novel alternative metaheuristic developments that have demonstrated their effectiveness in tackling various complex problems. This book encompasses a variety of emerging metaheuristic methods and their practical applications. The content is presented from a teaching perspective, making it particularly suitable for undergraduate and postgraduate students in fields such as science, electrical engineering, and computational mathematics. The book aligns well with courses in artificial intelligence, electrical engineering, and evolutionary computation. Furthermore, the material offers valuable insights to researchers within the metaheuristic and engineering communities. Similarly, engineering practitioners unfamiliar with metaheuristic computation concepts will recognize the pragmatic value of the discussed techniques. These methods transcend mere theoretical tools that have been adapted to effectively address the significant real-world problems commonly encountered in engineering domains.
- Contents:
- Introduction to Metaheuristic Schemes: Characteristics, Properties, and Importance in Solving Optimization Problems
- Exploring the potential of agent systems for metaheuristics
- Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach
- Trajectory-Driven Metaheuristic Approach using a Second-Order model
- Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony
- Efficient Image Contrast Enhancement by using the Moth Swarm Algorithm.
- ISBN:
- 9783031455612
- 3031455614
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.