Energy efficient optimal sink position selection algorithm for wireless sensor networks by TANG Wei, GUO Wei

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Optimal double acceptance sampling inspection plans based on inverted Nadarajah-Haghighi distribution by Mehran Naghizadeh Qomi, Zohre Mahdizadeh

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Energy efficient optimal sink position selection algorithm for multi-sink wireless sensor networks by TANG Wei, GUO Wei

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ECOLOGICALLY ORIENTED MATHEMATICAL MODELS OF RISK MANAGEMENT AND SAFETY by I. Gvozdkova

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The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem by Jiangtao Yu, Chang-Hwan Kim, Sang-Bong Rhee

“…To test its performances in solving the DOCRs coordination problem, it is adopted in 3-bus, 4-bus, 8-bus, and 9-bus systems, which are formulated by three kinds of optimization models as linear programming (LP), nonlinear programming (NLP), and mixed integer nonlinear programming (MINLP), according to the nature of the design variables. …”
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Mixed-type duality for multiobjective fractional variational control problems by Raman Patel

“…The results generalize a number of duality results previously obtained for finite-dimensional nonlinear programming problems under various convexity assumptions.…”
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Strong Convergence on the Aggregate Constraint-Shifting Homotopy Method for Solving General Nonconvex Programming by Zhichuan Zhu, Yeong-Cheng Liou

“…In the paper, the aggregate constraint-shifting homotopy method for solving general nonconvex nonlinear programming is considered. The aggregation is only about inequality constraint functions. …”
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Best Proximity Point Results for MK-Proximal Contractions by Mohamed Jleli, Erdal Karapınar, Bessem Samet

“…The purpose of this paper is to solve the nonlinear programming problem that consists in minimizing the real-valued function x↦d(x,Tx), where T belongs to a new class of contractive mappings. …”
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Second-Order Multiplier Iteration Based on a Class of Nonlinear Lagrangians by Yong-Hong Ren

“…This paper aims at analyzing the second-order multiplier iteration based on a class of nonlinear Lagrangians for solving nonlinear programming problems with inequality constraints. …”
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Spline approximation of multivalued functions in linear structures routing by D. A. Karpov, V. I. Struchenkov

“…An additional nonlinear programming algorithm was also used to optimize the parameters of the resulting spline as an initial approximation. …”
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Complete Solutions to General Box-Constrained Global Optimization Problems by Dan Wu, Youlin Shang

“…This paper presents a global optimization method for solving general nonlinear programming problems subjected to box constraints. …”
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Distributed relay assignment and power allocation for full-duplex two-way relaying in wireless sensor networks by Song Li, Shuo Li, Yanjing Sun

“…We investigated the weighted sum rate maximization problem under relay assignment constraints and total power constraints on each cooperative link, which turns out to be a mixed integer nonlinear programming problem. To tackle the challenging problem, we propose a distributed relay assignment and power allocation scheme by separating the original problem into two subproblems: relay assignment and power allocation. …”
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A Fast Approach to Bimatrix Games with Intuitionistic Fuzzy Payoffs by Min Fan, Ping Zou, Shao-Rong Li, Chin-Chia Wu

“…Secondly, two kinds of nonlinear programming algorithms were discussed with the Nash equilibrium of IFPBiG. …”
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Feedback Control Method Using Haar Wavelet Operational Matrices for Solving Optimal Control Problems by Waleeda Swaidan, Amran Hussin

“…Most of the direct methods solve optimal control problems with nonlinear programming solver. In this paper we propose a novel feedback control method for solving for solving affine control system, with quadratic cost functional, which makes use of only linear systems. …”
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Computation offloading and resource allocation strategy based on deep reinforcement learning by Feng ZENG, Zheng ZHANG, Zhigang CHEN

“…In order to expand the coverage and computing power of vehicle edge network, a computation offloading architecture was proposed for space-air-ground integrated vehicle network (SAGVN).With the consideration of the delay and energy consumption constraints of computing tasks, as well as the spectrum, computing and storage constraints in the SAGVN, the joint optimization problem of computation offloading decision and resource allocation was modeled as a mixed integer nonlinear programming problem.Based on the reinforcement learning method, the original problem was transformed into a Markov process, and a deep reinforcement learning algorithm was proposed to solve the problem.The proposed algorithm has the good convergence.The simulation results show that the proposed algorithm outperforms other algorithms in terms of task delay and success rate.…”
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A Mixed Traffic Assignment Problem and Its Upper Bound of Efficiency Loss by Xiao-Jun Yu, Jiancheng Long

“…The users governed by the UE player use the paths with minimum actual travel cost, while the users governed by altruistic players use the paths with minimum perceived travel cost, which is a linear combination of the actual and marginal travel costs. A nonlinear programming method is adopted to derive the efficiency loss of the UE-AP mixed equilibrium with polynomial cost function. …”
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THE OPTIMAL PRINCIPLE OF BELLMAN IN THE PROBLEM OF OPTIMAL MEANS DISTRIBUTION BETWEEN ENTERPRISES FOR THE EXPANSION OF PRODUCTION by A. Tarasenko, I. Egorova

“…The method of dynamic programming has been considered, which is used in solving multiple problems in economics, on the example of using Bellman’s optimality principle for solving nonlinear programming problems. On a specific numerical example, the features of the solution have been shown in detail with all the calculations. …”
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A MODIFIED SHAKEDOWN ANALYSIS FOR KINEMATIC HARDENING PIPING UNDER THERMAL-MECHANICAL LOAD by HUANG Song, CHEN ZhiPing, LI You

“…The idea is to transfer the nonlinear programming resulting from the shakedown analysis with kinematic hardening and temperature-dependent nature into an elastic perfectly plastic one which can be solved with less effort. …”
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Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN by Zhengyu ZHU, Gengwang HOU, Chongwen HUANG, Gangcan SUN, Wanming HAO, Jing LIANG

“…To meet the requirements of intelligent signal processing and physical layer security, aiming at the shortage of spectrum resources, a resource allocation algorithm for reconfigurable intelligent surface (RIS)-assisted the device to device (D2D) communication was proposed.D2D users communicated by multiplexing the spectrum resources of cellular users.Considering the constraints of D2D transmission rate, base station transmission power and RIS transmission phase shift, the problem of maximizing user security rate was formulated.To solve the nonlinear programming problem, a parallel convolutional neural network (CNN) algorithm was proposed to obtain the optimal resource allocation scheme.Simulation results show that the parallel CNN algorithm can effectively improve the secrecy rate and it is significantly better than other benchmark algorithms.…”
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Containerships Sailing Speed and Fleet Deployment Optimization under a Time-Based Differentiated Freight Rate Strategy by Hualong Yang, Yuwei Xing

“…Then, the optimization problem is formulated as a mixed-integer nonlinear programming. Its goal is to maximize the total profits of a container liner shipping. …”
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