A Conjugate Gradient Type Method for the Nonnegative Constraints Optimization Problems by Can Li

“…We are concerned with the nonnegative constraints optimization problems. It is well known that the conjugate gradient methods are efficient methods for solving large-scale unconstrained optimization problems due to their simplicity and low storage. …”
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Operating Point Optimization of Agricultural Tractor–Implement Combinations as Constraint Optimization Problem by Benjamin Kazenwadel, Marina Graf, Lukas Michiels, Marcus Geimer

“…The approach simplifies the optimization problem by formulation as a constraint optimization problem, allowing for improving the operating point of tractor–implement combinations with respect to observable process objective functions. …”
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Gap Functions and Algorithms for Variational Inequality Problems by Congjun Zhang, Baoqing Liu, Jun Wei

“…And through gap function, we equivalently transform the generalized variational inequality problem into a constraint optimization problem, give the steepest descent method, and show the convergence of the method.…”
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An Approximation Method for Variational Inequality with Uncertain Variables by Cunlin Li, Hongyu Zhang, Rui Yuan, Yee Hooi Min, Tzu-Chien Yin

“…Furthermore, a gap function is constructed to transform UVIP into an uncertain constraint optimization problem, and the optimal value of the constraint problem is proved to be the solution of UVIP. …”
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RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION by LI AnHong, ZHU JunHua, YU Ling

“…In order to quickly and accurately evaluate the reliability of mechanical seals,the three⁃parameter Weibull distribution was used to model the mechanical seal failure data.The reliability evaluation problem of mechanical seal was transformed into a constraint optimization problem,and a reliability evaluation method based on artificial hummingbird algorithm(AHA)was proposed.Through numerical simulation and case analysis,maximum likelihood estimation(MLE),improved Harris Hawks optimization(IHHO)algorithm and AHA were used to compare calculation accuracy and operational efficiency in solving the Weibull distribution parameter estimation problems.The results show that the parameter estimation using AHA has advantages of faster convergence speed and higher accuracy,and it can shorten the optimization time and improve the accuracy compared with MLE algorithm and IHHO algorithm,which provides a new and efficient method for Weibull parameter estimation of mechanical seals.…”
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Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network by Xue WANG, Jing LIU, Jiani SUN, Jizhen ZHANG, Zhihong QIAN

“…In order to solve problems of high power consumption, spectrum shortage and low energy efficiency in the ultra-intensive 5G mobile communication scenario, a resource allocation algorithm based on the maximum energy efficiency for the two-layer heterogeneous cellular non-orthogonal multiple access network was proposed.The original NP-hard optimization problem on the downlink communication link of ultra-dense scene was divided into two subproblem, such as frequency resource allocation and power allocation, which became a deterministic constraint optimization problem.The frequency resource allocation scheme of different user groups was obtained by using base station clustering based on the improved k-means algorithm and users grouping based on spectral clustering algorithm.The fraction of energy efficiency optimization was transformed into a solvable continuous convex optimization problem and power distribution was realized by Dinkelbach method, and the Lagrange multiplier iterative algorithm, respectively.Jointly optimize system energy efficiency in terms of base station clustering, user grouping, resource block allocation and power allocation, which minimized the inter-cluster interference and intra-cluster interference of the base station efficiently.The simulation results show that the proposed algorithm is better on energy efficiency and computational efficiency compared with existing algorithms.…”
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A revamped black winged kite algorithm with advanced strategies for engineering optimization by Sarada Mohapatra, Deepa Kaliyaperumal, Farhad Soleimanian Gharehchopogh

“…Additionally, the method is utilized in fifteen constraint optimization problems from the CEC2011 test suite and six complex engineering design problems, demonstrating its versatility and efficacy. …”
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Proactive Distributed Emergency Response With Heterogeneous Tasks Allocation by Justice Darko, Hyoshin Park

“…This study develops a new proactive framework based on the distributed constraint optimization problem (DCOP) to address the above limitations, overcoming conventional TIM models that cannot accommodate the dependencies in the TIM problem. …”
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Fault Tolerance of Oscillatory Neural Network: Device Oscillator-Based Small Network to Digital Oscillator-Based Large Networks by Sai Shubham, Nikhilesh Myanapuri, Siddharth Mohanty, Sandip Lashkare

“…This work illustrates the fault tolerance of the ONN in solving constraint optimization problems such as vertex coloring and digit recognition problems. …”
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Modified Morphological Component Analysis Method for SAR Image Clutter Suppression by Shuangying Xiao, Huaping Xu, Bing Sun, Wei Liu

“…The proposed method formulates clutter suppression as a constraint optimization problem that combines MCA with incoherence constraint and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>L</mi><mn>0</mn></msub></semantics></math></inline-formula> gradient minimization, and it presents an effective solution to the optimization problem. …”
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Proposal of a novel particle swarm optimization for constrained optimization problems (1st report: Basic study with benchmark problems) by So FUKUHARA, Nobuhisa KATSUMATA, Masao ARAKAWA

“…There are many requirements, issues and complexities that engineering design problems must take into account, and these engineering items are often treated as constraints in optimization problems. The constraint optimization problems (COPs) are the most popular type of problems, therefore, optimization algorithms for the COPs have been attracted more and more attention. …”
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An Activity Network Design and Charging Facility Planning Model Considering the Influence of Uncertain Activities in a Game Framework by Zechao Ma, Xiaoming Liu, Weiqiang Wang, Shangjiang Yang, Yuqi Yang, Yingjie Zhao, Hanqing Xia, Yuanrong Wang

“…For this mixed-integer nonlinear multi-objective multi-constraint optimization problem, the model is solved by the NSGA-II algorithm, and the optimal compromise scheme is determined by using the EWM-TOPSIS comprehensive evaluation method for the Pareto solution set. …”
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