Grammar-Based Immune Programming for Symbolic Regression
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Interfaces
A parallel skeleton for genetic algorithms
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Guided restarting local search for production planning
Engineering Applications of Artificial Intelligence
Artificial fish swarm algorithm for unconstrained optimization problems
AMERICAN-MATH'12/CEA'12 Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics
Optimising anti-spam filters with evolutionary algorithms
Expert Systems with Applications: An International Journal
Proceedings of the 28th Annual ACM Symposium on Applied Computing
International Journal of Computational Intelligence Studies
Engineering Applications of Artificial Intelligence
Clock Drift Management Using Nature Inspired Algorithms
Journal of Information Technology Research
An ACO-RFD hybrid method to solve NP-complete problems
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Nature-Inspired Algorithms are gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume "Nature-Inspired Algorithms for Optimisation" is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.