Nonlinear continuous global optimization by modified differential evolution
The task of global optimization is to find a point where the objective function obtains its most extreme value. Differential evolution (DE) is a population-based heuristic approach that creates new candidate solutions by combining several points of the same population. The algorithm has three parame...
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Other Authors: | , |
Format: | conferencePaper |
Language: | eng |
Published: |
2010
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/17117 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/17117 |