Optimality conditions and duality results for nonsmooth vector optimization problems with the multiple interval-valued objective function
Sign Up to like & getrecommendations! Published in 2017 at "Acta Mathematica Scientia"
DOI: 10.1016/s0252-9602(17)30062-0
Abstract: Abstract In this paper, both Fritz John and Karush-Kuhn-Tucker necessary optimality conditions are established for a (weakly) LU-efficient solution in the considered nonsmooth multiobjective programming problem with the multiple interval-objective function. Further, the sufficient optimality… read more here.
Keywords: optimality conditions; multiple interval; duality results; objective function ... See more keywords
Optimal Motion Planning for Differential Drive Mobile Robots based on Multiple-Interval Chebyshev Pseudospectral Methods
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DOI: 10.1017/s0263574720000430
Abstract: SUMMARY This paper presents a Chebyshev Pseudospectral (PS) method for solving the motion planning problem of nonholonomic mobile robots with kinematic and dynamic constraints. The state and control variables are expanded in the Chebyshev polynomial… read more here.
Keywords: multiple interval; chebyshev pseudospectral; motion planning; interval chebyshev ... See more keywords
Inferences for multiple interval type-I censoring scheme
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DOI: 10.1080/02664763.2021.1981832
Abstract: In this paper, we have introduced a new type of censoring scheme named the multiple interval type-I censoring scheme. Further, We have assumed that the test units are drawn from the Weibull populat... read more here.
Keywords: multiple interval; censoring scheme; type censoring; interval type ... See more keywords
Optimality conditions for $ E $-differentiable vector optimization problems with the multiple interval-valued objective function
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DOI: 10.3934/jimo.2019089
Abstract: In this paper, a nonconvex vector optimization problem with multiple interval-valued objective function and both inequality and equality constraints is considered. The functions constituting it are not necessarily differentiable, but they are \begin{document}$ E $\end{document}… read more here.
Keywords: optimization; valued objective; multiple interval; interval valued ... See more keywords