Performance assessment of evolutionary algorithms
Optimization has become a part and parcel of almost all industries and various studies of research. Many conventional optimizers were used in the past to solve these problems. But recently there has been a growing trend to use evolutionary algorithms (EA) to solve these problems, which use random op...
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sg-ntu-dr.10356-444952023-03-03T20:23:55Z Performance assessment of evolutionary algorithms Nagarjuna, Veesam Ong Yew Soon School of Computer Engineering Centre for Computational Intelligence DRNTU::Engineering::Computer science and engineering Optimization has become a part and parcel of almost all industries and various studies of research. Many conventional optimizers were used in the past to solve these problems. But recently there has been a growing trend to use evolutionary algorithms (EA) to solve these problems, which use random operators, inspired from evolution concept, on a population of candidate solutions iteratively to get the optimum values. Bachelor of Engineering (Computer Engineering) 2011-06-02T01:55:22Z 2011-06-02T01:55:22Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44495 en Nanyang Technological University 56 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Nagarjuna, Veesam Performance assessment of evolutionary algorithms |
| description |
Optimization has become a part and parcel of almost all industries and various studies of research. Many conventional optimizers were used in the past to solve these problems. But recently there has been a growing trend to use evolutionary algorithms (EA) to solve these problems, which use random operators, inspired from evolution concept, on a population of candidate solutions iteratively to get the optimum values. |
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Ong Yew Soon |
| author_facet |
Ong Yew Soon Nagarjuna, Veesam |
| format |
Final Year Project |
| author |
Nagarjuna, Veesam |
| author_sort |
Nagarjuna, Veesam |
| title |
Performance assessment of evolutionary algorithms |
| title_short |
Performance assessment of evolutionary algorithms |
| title_full |
Performance assessment of evolutionary algorithms |
| title_fullStr |
Performance assessment of evolutionary algorithms |
| title_full_unstemmed |
Performance assessment of evolutionary algorithms |
| title_sort |
performance assessment of evolutionary algorithms |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10356/44495 |
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1759857237402058752 |