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Weighted inverse maximum perfect matching problems under the Hamming distance

Liu, Longcheng; Yao, Enyu - In: Journal of Global Optimization 55 (2013) 3, pp. 549-557

Given an undirected network G(V, E, c) and a perfect matching M <Superscript>0</Superscript>, the inverse maximum perfect matching problem is to modify the cost vector as little as possible such that the given perfect matching M <Superscript>0</Superscript> can form a maximum perfect matching. The modification can be measured by different norms. In...</superscript></superscript>

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Study of multiscale global optimization based on parameter space partition

Sun, Weitao; Dong, Yuan - In: Journal of Global Optimization 49 (2011) 1, pp. 149-172

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Automatic differentiation for the optimization of a ship propulsion and steering system: a proof of concept

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Incremental learning optimization on knowledge discovery in dynamic business intelligent systems

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Optimization algorithm for learning consistent belief rule-base from examples

Liu, Jun; Martinez, Luis; Ruan, Da; Rodriguez, Rosa; … - In: Journal of Global Optimization 51 (2011) 2, pp. 255-270

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An improved training algorithm for feedforward neural network learning based on terminal attractors

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Particle swarm optimization for bi-level pricing problems in supply chains

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Maturity, distance and density (MD<Superscript>2</Superscript>) metrics for optimizing trust prediction for business intelligence

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Riemannian convexity of functionals

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On simulation of optimal strategies and Nash equilibrium in the financial market context

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