Nature-inspired algorithms and applied optimization. (2018)
- Record Type:
- Book
- Title:
- Nature-inspired algorithms and applied optimization. (2018)
- Main Title:
- Nature-inspired algorithms and applied optimization
- Further Information:
- Note: Xin-She Yang, editor.
- Editors:
- Yang, Xin-She
- Contents:
- Mathematical Analysis of Nature-Inspired Algorithms -- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation -- Global Convergence Analysis of Cuckoo Search Using Markov Theory -- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm -- Variants of the Flower Pollination Algorithm: A Review.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (xi, 330 pages), illustrations (some color)
- Subjects:
- 006.3/8
Engineering
Natural computation
Swarm intelligence
Natural computation
Swarm intelligence
Engineering
Computational Intelligence
Artificial Intelligence (incl. Robotics)
Algorithms
Optimization
Computers -- Intelligence (AI) & Semantics
Computers -- Programming -- Algorithms
Mathematics -- Applied
Artificial intelligence
Numerical analysis
Optimization
Artificial intelligence
Algorithms
Mathematical optimization
Electronic books - Languages:
- English
- ISBNs:
- 9783319676692
3319676695
3319676687
9783319676685 - Related ISBNs:
- 9783319676685
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 23, 2017).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.347448
- Ingest File:
- 01_301.xml