Optimal allocation of urban land space based on NSGA2 by Yi Guo, Chaoqin Bai, Peiwen Zhao

“…Meanwhile, the reverse iteration distance value of this algorithm was only 4.14%, which was 22.76% lower than the adaptive weighted genetic algorithm. …”
Get full text

Discrete Robustness Optimization on Emergency Transportation Network Based on Prospect Theory by Zheng-kun Zhang, Chang-feng Zhu, Qing-rong Wang, Jia-shan Yuan

Get full text

Modeling and Optimization of the Multiobjective Stochastic Joint Replenishment and Delivery Problem under Supply Chain Environment by Lin Wang, Hui Qu, Shan Liu, Cai-xia Dun

“…Thirdly, three intelligent optimization algorithms, differential evolution algorithm (DE), hybrid DE (HDE), and genetic algorithm (GA), are utilized in LP-based and MOEA-based approaches. …”
Get full text

Effective Approach to Shock Absorption Performance Evaluation of Mechanical Component Springs Using the Single Valued Trapezoidal Neutrosophic Numbers for Structural Stability by Hanwei Qu, Caiyun Duan, Jiancheng Yu

Get full text

Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease by Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, Shuo Li

“…Finally, we detect the PD patients using three-way decision based on optimal center constructive covering algorithm (O_CCA) with the accuracy about 92.86%. …”
Get full text

A Hierarchical Reinforcement Learning Framework for Multi-Agent Cooperative Maneuver Interception in Dynamic Environments by Qinlong Huang, Yasong Luo, Zhong Liu, Jiawei Xia, Ming Chang, Jiaqi Li

Get full text

Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation by Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU

“…Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and scalability, an accelerated unconstrained latent factorization of tensor (AULFT) model was proposed.The proposed model consisted of three main parts.The non-negative constraints from decision parameters were transferred to output latent factors and they were connected through the single-element-dependent mapping function.A momentum-incorporated stochastic gradient descent (MSGD) algorithm was used to effectively improve the convergence rate and estimation accuracy of the proposed AULFT model.The detailed algorithm and result analysis of the proposed AULFT model were presented.The empirical study on two dynamic QoS datasets in real industrial applications demonstrates that the proposed AULFT model has higher computational efficiency and estimation accuracy than the state-of-the-art QoS estimation models.…”
Get full text

Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network by Qiyue Huang, Yuqing Zheng, Yuxuan Xu

“…The results are quantitatively compared with other forecasting algorithms to verify the accuracy and superiority of the proposed algorithm.…”
Get full text

Advanced hybrid machine learning based modeling for prediction of properties of ionic liquids at different temperatures by Saud Bawazeer

“…The harmony search (HS) algorithm was employed as an optimization algorithm to find the best hyper-parameters combination by minimizing the error. …”
Get full text

Application of Linear Programming in Profit Maximization (A Case Study of Crunches Fried Chicken at Miami Tours and Travel Hotel in Kabale District) by Tayebwa, Osbert

Get full text

Pseudo Inefficiency in Multi-Period Systems: A DEA-based Approach by Mahsa Torkavannezhad, Ghasem Tohidi, Behrouz Daneshian, Mahnaz Maghbouli, Farzin Moddarres Khiyabani

“…This paper proposes a three-step algorithm to investigate pseudo-inefficiency.…”
Get full text

INTEGRATED OPTIMIZATION MODEL OF MANUFACTURING AND TRANSPORTATION PROCESSES by R. S. Rogulin, D. E. Pleshanov, P. V. Nechaev

“…This task can be attributed to non-trivial combinatorial problems on decision-making at an enterprise. This article contains a model of generalization of three previously known linear programming problems: production problems, time accounting tasks, and service flow problems. …”
Get full text

A Coordinated Allocation Method for Right-Turn Strategy at Signalized Intersections with Optimal Pedestrian and Vehicle Delays by Yu Bai, Wanyan Luo

“…To minimize vehicle and pedestrian delay at the intersection individually, an optimization model is established with the effective green time of each phase and three schemes as decision variables. A right-turn vehicle and pedestrian conflict delay model is developed based on the pedestrian-vehicle interaction behavior as the constraints of the optimization model. …”
Get full text

An Interval Integrated Optimization to Air-Cargo Hub Network Design and Airline Fleet Planning by Yu Wang, Tao Zhu, Kaibo Yuan, Peiwen Zhang, Zhe Liang, Jinfu Zhu

Get full text

Study on the Strategy of Playing Doudizhu Game Based on Multirole Modeling by Shuqin Li, Saisai Li, Hengyang Cao, Kun Meng, Meng Ding

“…This framework includes three parts: role modeling, cards carrying, and decision-making strategies. …”
Get full text

Fire weather indices tailored to regional patterns outperform global models by Assaf Shmuel, Teddy Lazebnik, Eyal Heifetz, Oren Glickman, Colin Price

“…Tailoring the index to each country with a Genetic Algorithm significantly improves its accuracy, raising the ROC AUC from 0.69 to 0.79. …”
Get full text

Competitive pricing and seed node selection in a two-echelon supply chain by Mohammad Hossein Morshedin, Seyed Jafar Sadjadi, Babak Amiri, Mahdi Karimi

“…To solve this model, we employ a meta-heuristic algorithm. Finally, the effect of the model's parameters on decision variables and the objective functions is discussed. …”
Get full text

A multi-user multi-operator computing pricing method for Internet of things based on bi-level optimization by Wei Jiang, Huiqiang Wang, Bingyang Li, Haibin Lv, Qingchuan Meng

“…The problem is divided into three phases and modeled as a two-level optimization problem. …”
Get full text

Machine-learning-derived prediction models of outcomes for patients with pseudomyxoma peritonei: development and validation in two retrospective cohorts by Yu-Run Cui, Xin-Li Liang, Yan Li

“…Conclusions This study successfully developed and validated a nomogram model using the RF algorithm to predict 3-year and 5-year survival rates in patients with PMP, providing a practical and efficient tool for clinical decision-making.…”
Get full text

Program Scheduling With Multi-Skill and External Resource Coordination Consideration Using Improved NSGA-II: Case Study by Heng Zhang, Jingbo Zhou, Huaying Ruan, Yixuan Qin

“…Cluster analysis and statistical methods were applied to extract three pivotal traits of the optimal allocation scheme, providing a scientific reference and decision-making foundation for managerial resource-allocation strategies.…”
Get full text