A two-stage improved variable neighborhood search-sine cosine algorithm for the multi-row layout problem with safety consideration. [PDF]
Rifai AP, Sari WP.
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Toward Doubly Local Double Hybrid Functionals Using Neural-Network Local Mixing Functions. [PDF]
Kovács N +3 more
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Fuzzy adaptive nonlinear MIMO control for rigid coupled multibody robots using reinforcement learning model. [PDF]
Duan C, Wang L, Li S.
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Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas. [PDF]
Desuó Neto L +3 more
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Capturing infant and child growth dynamics with P-splines mixed effects models
Hernandez MA +5 more
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Exact Penalty Functions in Constrained Optimization [PDF]
Summary: Formal definitions of exactness for penalty functions are introduced and sufficient conditions for a penalty function to be exact according to these definitions are stated, thus providing a unified framework for the study of both nondifferentiale and continuously differentiable penalty functions.
G Di Pillo, L Grippo
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A new class of exact penalty functions and penalty algorithms
Journal of Global Optimization, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinchuan Zhou +2 more
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Exact penalty functions in nonlinear programming
Mathematical Programming, 1973In this paper some new theoretic results on piecewise differentiable exact penalty functions are presented. Sufficient conditions are given for the existence of exact penalty functions for inequality constrained problems more general than concave and several classes of such functions are presented.
J P Evans, F J Gould
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Exact penalty functions in nonlinear programming
Mathematical Programming, 1979It is shown that the existence of a strict local minimum satisfying the constraint qualification of [16] or McCormick's [12] second order sufficient optimality condition implies the existence of a class of exact local penalty functions (that is ones with a finite value of the penalty parameter) for a nonlinear programming problem.
O L Mangasarian, Mangasarian O L
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Optimality Conditions via Exact Penalty Functions [PDF]
In this paper, we study KKT optimality conditions for constrained nonlinear programming problems and strong and Mordukhovich stationarities for mathematical programs with complementarity constraints using $l_p$ penalty functions, with $0\leq p\leq1$. We introduce some optimality indication sets by using contingent derivatives of penalty function terms.
Meng, K, Yang, XQ
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