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Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06)
Timisoara, Romania
September 26-September 29
ISBN: 0-7695-2740-X
| ASCII Text | x | ||
| Ajith Abraham, "Tuning Evolutionary Algorithm Performance Using Nature Inspired Heuristics," 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, pp. 13, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/SYNASC.2006.78, author = {Ajith Abraham}, title = {Tuning Evolutionary Algorithm Performance Using Nature Inspired Heuristics}, journal ={2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing}, volume = {0}, year = {2006}, isbn = {0-7695-2740-X}, pages = {13}, doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.78}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing TI - Tuning Evolutionary Algorithm Performance Using Nature Inspired Heuristics SN - 0-7695-2740-X SP EP A1 - Ajith Abraham, PY - 2006 KW - null VL - 0 JA - 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing ER - | |||
Evolutionary algorithms have become an important problem solving methodology among many researchers working in the area of computational intelligence. The population based collective learning process; self adaptation and robustness are some of the key features of evolutionary algorithm when compared to other global optimization techniques. Due to its simplicity, evolutionary algorithms have been widely accepted for solving several important practical applications in engineering, business, commerce etc. However, experimental evidence had indicated cases where evolutionary algorithms are inefficient at fine tuning solutions, but better at finding global basins of attraction.
Citation:
Ajith Abraham, "Tuning Evolutionary Algorithm Performance Using Nature Inspired Heuristics," synasc, pp.13, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006
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