-
41
Inertial-relaxed splitting for composite monotone inclusions
Published 2023-02-01“…Open Journal of Mathematical Optimization…”
Get full text
Article -
42
A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement
Published 2024-09-01“…However, existing mathematical optimization algorithms, such as classic and metaheuristic methods, cannot solve the optimal switch placement problem for large-scale systems. …”
Get full text
Article -
43
Optimization Design of Steering Mechanism for Carbon-free Car based on Matlab
Published 2019-02-01“…In order to improve the track symmetry of carbon-free car for ‘S’ shape， the movement mechanism of the car is designed， the mathematical optimization model of the steering mechanism is built， and the relevant parameter is optimized by using the Matlab Optimization Tools， the influence between parameter and track symmetry is discussed. …”
Get full text
Article -
44
Some Generalized Fixed Point Results with Applications to Dynamic Programming
Published 2020-01-01“…As an application of our results, we investigate the problem of dynamic programming related to the multistage process which formulates the problems of computer programming and mathematical optimization. We also provide an example to support the validity of our main results.…”
Get full text
Article -
45
A REVIEW ON LIGHTWEIGHT DESIGN AND CRASHWORTHINESS REQUIREMENTS OF THIN-WALLED TUBULAR STRUCYURE
Published 2020-01-01“…The research on crashworthiness of thin-walled tubular structures is one of the important researches in the fields of automotive engineering,aerospace and so on.Based on the analysis of material characteristics,structural characteristics and mathematical optimization models of thin-walled tubular structures,this paper expounds the internal relations of loading conditions,deformation modes,energy absorption characteristics and crashworthiness of different types of thin-walled tubular structures.It is proposed that the research on the crashworthiness of thin-walled tubular structures based on structural bionics is an important direction and research idea for future safety and energy-saving research.It provides reference for solving the challenge and the direction of future development in the current research stage.…”
Get full text
Article -
46
OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM
Published 2021-01-01“…In order to improve the energy utilization rate of the vertical axis variable angle of attack turbine,a mathematical optimization model of the blade declination angle variation rule was established,using the blade declination angle change with the position angle as the design parameter,the turbine energy utilization rate as the objective function,and genetic algorithm Combined with the method of sequential quadratic programming,the optimization calculation is carried out,and on this basis,the most suitable blade declination variation law is obtained. …”
Get full text
Article -
47
COMPLEX METHOD OF SEEKING THE MAXIMUM OF NON-NEGATIVE FUNCTION OF TWO VARIABLES
Published 2018-01-01“…On one hand,the conclusions obtained in this paper can be directly used to solve the optimization problem in which the analytic function theory could be used,on the other hand,it can be used to obtain the global optimization solutions of the two-dimension mathematical optimization problems in which the method could be used in a high precision and high effective manner.…”
Get full text
Article -
48
Managing Air Traffic Flow With Link Flow Rate Control: A Pure Integer Programming Model With More Accurate Link Connection Modeling
Published 2024-01-01“…This paper develops a mathematical optimization approach for link-level air traffic flow management. …”
Get full text
Article -
49
Optimization of machining for the maximal productivity rate of the drilling operations
Published 2024-12-01“…The increase in machining regimes improves productivity but may reduce the quality of machined products. Mathematical optimization methods help find a balance between the benefits and drawbacks of machining processes. …”
Get full text
Article -
50
Three-level global resource allocation model for HIV control: A hierarchical decision system approach
Published 2018-01-01“…In this paper, a hierarchical mathematical optimization model is proposed to solve such a problem. …”
Get full text
Article -
51
Routing and scheduling optimization for urban air mobility fleet management using quantum annealing
Published 2025-02-01“…In this study, we propose a routing and scheduling framework to address the needs of a large fleet of UAM vehicles operating in urban areas. Using mathematical optimization techniques, we plan efficient and deconflicted routes for a fleet of vehicles. …”
Get full text
Article -
52
Synthesis and Optimization of 2,5-Dihydroxyterephthalic Acid in a Slurry Reactor
Published 2024-01-01“…An additional 14 more experiments devised by the Box–Behnken design scheme are performed to determine a quadratic model for the DHTA yield against the three parameters mentioned above. A mathematical optimization of the model predicts 83.385% DHTA yield at 200°C, 2.085, and 250 min for temperature, catalyst-to-DSH molar ratio, and reaction time, respectively. …”
Get full text
Article -
53
Selection and Resource Allocation Strategies for Chatbot Technologies in Higher Education: An Optimization Model Approach
Published 2025-01-01“…We developed a mathematical optimization model and introduced the “Relative Net Utility Differential” (RNUD) as a pivotal metric to facilitate the decision-making process for chatbot technology selection and resource distribution. …”
Get full text
Article -
54
Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the...
Published 2024-12-01“…Compared with traditional mathematical optimization, the speed of economic optimization with the help of the machine learning method increased by up to 1100 times. …”
Get full text
Article -
55
Designing EV Charging Energy Hubs to Meet Flexibility Requirements in Smart Grids
Published 2025-01-01“…This study introduces a novel mathematical optimization model designed to maximize the operational flexibility of EV charging stations by transforming them into fully functional energy hubs. …”
Get full text
Article -
56
Optimization Techniques for Physician Scheduling Problem: A Systematic Review of Recent Advancements and Future Directions
Published 2025-01-01“…Key findings reveal the prevalence of mathematical optimization methods, the growing importance of multi-objective optimization and robustness, as well as the potential of machine learning and data-driven approaches. …”
Get full text
Article -
57
Environmental trade-offs of meeting nutritional requirements with a lower share of animal protein for adult subpopulations
Published 2025-02-01“…They were modeled for five adult subpopulations (defined by sex and age) using mathematical optimization. The model was created by combining the INCA2 database (to model OBS diets in the French population) and a database of 207 food items to adjust nutritional and price parameters. …”
Get full text
Article -
58
Sparse group LASSO constraint eigenphone speaker adaptation method for speech recognition
Published 2015-09-01“…Original eigenphone speaker adaptation method performed well when the amount of adaptation data was suffi-cient.However,it suffered from server overfitting when insufficient amount of adaptation data was provided.A sparse group LASSO(SGL) constraint eigenphone speaker adaptation method was proposed.Firstly,the principle of eigenphone speaker adaptation was introduced in case of hidden Markov model-Gaussian mixture model (HMM-GMM) based speech recognition system.Then,a sparse group LASSO was applied to estimation of the eigenphone matrix.The weight of the SGL norm was adjusted to control the complexity of the adaptation model.Finally,an accelerated proximal gradient method was adopted to solve the mathematic optimization.The method was compared with up-to-date norm algorithms.Experiments on an mandarin Chinese continuous speech recognition task show that,the performance of the SGL con-straint eigenphone method can improve remarkably the performance of the system than original eigenphone method,and is also superior to l<sub>1</sub>、l<sub>2</sub>-norm and elastic net constraint methods.…”
Get full text
Article -
59
Asphalt Concrete Overlay Optimization Based on Pavement Performance Models
Published 2017-01-01“…Rehabilitation scenarios differ in technology, the design of which needs to be mathematically optimized, and timing of rehabilitation execution. …”
Get full text
Article -
60
