Opening book details…
Can I read Multi-objective Optimization on EtoBox?
Multi-objective Optimization by Kalyanmoy Deb; Kalyanmoy Deb is a book available to read on EtoBox.
What is Multi-objective Optimization about?
The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. “As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The book’s subtitle, “Introductory Tutorials in Optimization and Decision Support Techniques”, aptly describes its aim, and the editors and contributors to this volume have achieved thi
- Author
- Kalyanmoy Deb; Kalyanmoy Deb
- Publisher
- Springer US : Imprint : Springer
- Published
- 2013
- Language
- EN
- ISBN
- 9781461469407
- Subjects
- Management, Technology, Business
More by Kalyanmoy Deb; Kalyanmoy Deb
Browse all works by Kalyanmoy Deb; Kalyanmoy Deb
Similar books
- Multi-Objective Optimization in Computer Networks Using Metaheuristics; Edition 1 (2007)
- An Improved Multi-objective Optimization Algorithm Based on Reinforcement Learning — Jun Liu; Yi Zhou; Yimin Qiu; Zhongfeng Li (2022)
- Design of a Sustainable Biodiesel Production Process by a Multi-objective Optimization — A.F. Barcia-Quimi; A. Risco-Bravo; K. Alcivar-Espinoza; D.L. Tinoco-Caicedo (2023)
- Multi-objective Optimization of the Concrete Mixture Blended with Mineral Admixture Using Machine Learning and NSGA-II Algorithms — Rupesh Kumar Tipu; V. R. Panchal; K. S. Pandya (2023)
- Performance Analysis of Virtual Platforms Focused on Multi-objective Process Optimization — Jaime David Ponce-Rocha; César Ramírez-Márquez; Ricardo Morales-Rodriguez (2023)
- A Game Theoretic Perspective on Bayesian Many-Objective Optimization — Mickaël Binois; Abderrahmane Habbal; Victor Picheny (2023)