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Conjugate gradient methods are widely used for large scale unconstrained optimization. A new class of conjugate gradient trust region method is proposed, in which trust region technique is used for guaranteeing the global convergence of the algorithm, and more utilizable information on conjugate gradient vectors is used for accelerating convergence of the algorithm. The global convergence, super linear...
This paper proposes an enhanced particle swarm optimization with gradient information (GPSO) for unconstrained optimization. Newton's method and mutation operation are embedded in the velocity update equation to improve the effect of cognition influence and social influence, respectively. Based on numerous test function taken from the literature, computational results via a variety of experimental...
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