Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi Editorial, J Comput Eng Inf Technol Vol: 1 Issue: 1
Nature-Inspired Mateheuristic Algorithms: Success and New Challenges
| Xin-She Yang* |
| Mathematics and Scientific Computing, National Physical Laboratory, Teddington, UK |
| Corresponding author : Dr. Xin-She Yang Mathematics and Scientific Computing, National Physical Laboratory, Teddington, TW11 0LW, UK Email: xy227@cam.ac.uk |
| Received: July 16, 2012 Accepted: July 18, 2012 Published: July 20, 2012 |
| Citation: Yang XS (2012) Nature-Inspired Mateheuristic Algorithms: Success and New Challenges. J Comput Eng Inf Technol 1:1. doi:10.4172/2324-9307.1000e101 |
Abstract
Nature-Inspired Mateheuristic Algorithms: Success and New Challenges
Many business activities require planning and optimization, this is also true for engineering design, Internet routing, transport scheduling, objective-oriented task management and many other design activities. In fact, optimization is everywhere, the most important part of optimization is the core algorithms used to find optimal solutions to a given problem, though in many cases such algorithms may not exist at all.
