Results 31 to 40 of about 12,262,956 (340)
Aggregation functions based on penalties [PDF]
Fuzzy Sets and Systems, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tomasa Calvo, Gleb Beliakov
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Emergency airport site selection using global subdivision grids
Big Earth Data, 2022 The occurrence of large-magnitude disasters has significantly aroused public attention regarding diversified site selection of emergency facilities. In particular, emergency airport site selection (EASS) is highly complicated, and relevant research is ...
Bing Han +4 more
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Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design [PDF]
Int. J. Parallel Emergent Distributed Syst., 2016 Most of the metaheuristics can efficiently solve unconstrained problems; however, their performance may degenerate if the constraints are involved.
Omkar Kulkarni +3 more
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, 2020 The complexity of polyhedral block systems (e.g., small blocks, flat blocks with small angles, edges, or faces) poses challenges in the kinetic analysis of rock block systems.
Fei Zheng +4 more
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Paying the penalty? The high price of penalty rates in Australian restaurants [PDF]
, 2014 Examines the consequences of penalty rates for employment, productivity, profitability and consumer welfare. Abstract As a result of decisions by numerous state and federal commissions and tribunals, most recently the Fair Work Commission, penalty ...
Phil Lewis, LEWIS, Phil
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A Penalty Function Promoting Sparsity Within and Across Groups [PDF]
IEEE Transactions on Signal Processing, 2016 We introduce a new penalty function that promotes signals composed of a small number of active groups, where within each group, only a few high magnitude coefficients are nonzero.
Ilker Bayram, S. Bulek
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Arab Journal of Basic and Applied Sciences, 2019 In this paper, we have reviewed some penalty function methods for solving constrained optimization problems in the literature and proposed a continuously differentiable logarithmic penalty function which consists of the proposed logarithmic penalty ...
Mansur Hassan, Adam Baharum
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Minimization of Fraction Function Penalty in Compressed Sensing [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2017 In this paper, we study the minimization problem of a non-convex sparsity-promoting penalty function, i.e., fraction function, in compressed sensing. First, we discuss the equivalence of $\ell _{0}$ minimization and fraction function minimization.
Haiyang Li +3 more
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Geometric approach to Fletcher's ideal penalty function [PDF]
, 1995 In this note, we derive a geometric formulation of an ideal penalty function for equality constrained problems. This differentiable penalty function requires no parameter estimation or adjustment, has numerical conditioning similar to that of the target ...
Christianson, B.
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A General Solution for the Errors in Variables (EIV) Model with Equality and Inequality Constraints
Applied Sciences, 2022 Targeting the adjustment of the errors-in-variables (EIV) model with equality and inequality constraints, a general solution that is similar to the classical least square adjustment is proposed based on the penalty function and the weight in measurement.
Dengshan Huang, Yulin Tang, Qisheng Wang
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