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This research received funding support from the NSRF via the Program Man-agement Unit for Human Resources&Institutional Development,Research and Innovation(Grant Number B05F640092).
The current study relates to designing a swarming computational paradigm to solve the influenza disease system(IDS).The nonlinear system’s mathematical form depends upon four classes:susceptible individuals,infected ...
In this paper, an Improved Affine-Scaling Interior Point Algorithm for Linear Programming has been proposed. Computational results of selected practical problems affirming the proposed algorithm have been provided. Th...
Shahrekord University for financial support;partially supported by the Center of Excellence for Mathematics, University of Shahrekord, Shahrekord, Iran
In this paper, we present a neighborhood following primal-dual interior-point algorithm for solving symmetric cone convex quadratic programming problems, where the objective function is a convex quadratic function and...
Sponsored by the National Natural Science Foundation of China(Grant No.11461021);the Natural Science Basic Research Plan in Shaanxi Province of China(Grant No.2017JM1014);Scientific Research Project of Hezhou University(Grant Nos.2014YBZK06 and 2016HZXYSX03)
This paper proposes a new full Nesterov-Todd(NT) step infeasible interior-point algorithm for semidefinite programming. Our algorithm uses a specific kernel function, which is adopted by Liu and Sun, to deduce the fea...
We present a neuro-heuristic computing platform for finding the solution for initial value problems (IVPs) of non- linear pantograph systems based on functional differential equations (P-FDEs) of different orders....
In this article, the primal-dual interior-point methods are used to minimize costs and losses in a predispatch model for the generation and transmission of direct current (DC) power flow in a hydroelectric system with...
The authors are indebted to the referees for their careful reading of the manuscript and for their suggestions which helped to improve the paper.The authors also wish to thank Shahrekord University for financial support.
Interior-Point Methods(IPMs)not only are the most effective methods in practice but also have polynomial-time complexity.Many researchers have proposed IPMs for Linear Optimization(LO)and achieved plentiful results.In...
Considering the soft constraint characteristics of voltage constraints, the Interior-Point Filter Algorithm is applied to solve the formulation of fuzzy model for the power system reactive power optimization with a la...
In this paper, we propose a new infeasible interior-point algorithm with full NesterovTodd (NT) steps for semidefinite programming (SDP). The main iteration consists of a feasibility step and several centrality steps....
Transmission line manipulations in a power system are necessary for the execution of preventative or corrective main- tenance in a network, thus ensuring the stability of the system. In this study, primal-dual interio...