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|Title:||Performance assessment of evolutionary algorithms||Authors:||Nagarjuna, Veesam||Keywords:||DRNTU::Engineering::Computer science and engineering||Issue Date:||2011||Abstract:||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.||URI:||http://hdl.handle.net/10356/44495||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Student Reports (FYP/IA/PA/PI)|
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