Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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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: [email protected]
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.

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