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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.
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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