On q-steepest descent method for unconstrained multiobjective optimization problems
Por um escritor misterioso
Last updated 20 setembro 2024
The <i>q</i>-gradient is the generalization of the gradient based on the <i>q</i>-derivative. The <i>q</i>-version of the steepest descent method for unconstrained multiobjective optimization problems is constructed and recovered to the classical one as <i>q</i> equals 1. In this method, the search process moves step by step from global at the beginning to particularly neighborhood at last. This method does not depend upon a starting point. The proposed algorithm for finding critical points is verified in the numerical examples.
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization 3030429490, 9783030429492
PDF) On q-steepest descent method for unconstrained multiobjective optimization problems
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