Osteochondral Allograft Transplantation in Professional Athletes: Rehabilitation and Return to Play by Snehal Patel, Arya Amirhekmat, Ryan Le, Riley J Williams III, Dean Wang

“…The principles of early range of motion, proper progression through the kinetic chain, avoidance of pain and effusion, optimization of movement, regimen individuation, and integration of sports-specific activities underlie proper recovery.…”
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Existence Results for Nonsmooth Vector Quasi-Variational-Like Inequalities by Mohammed Alshahrani, Qamrul Hasan Ansari, Suliman Al-Homidan

“…By using the technique and methodology adopted in Al-Homidan et al. (2012), one can easily derive the relations among these inequalities and a vector quasi-optimization problem. Hence, the existence results for a solution of a vector quasi-optimization problem can be derived by using our results. …”
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Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria by Hitoshi Yano, Masatoshi Sakawa

“…We propose an interactive fuzzy decision making method for multiobjective fuzzy random linear programming problems through fractile criteria optimization. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only objective functions but also permissible probability levels in a fractile optimization model, and such fuzzy goals are quantified by eliciting the corresponding membership functions. …”
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Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator by Longquan Yong, Sanyang Liu, Jianke Zhang, Quanxi Feng

“…Harmony search (HS) method is an emerging metaheuristic optimization algorithm. In this paper, an improved harmony search method based on differential mutation operator (IHSDE) is proposed to deal with the optimization problems. …”
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THE RESEARCH OF USING «THE COST RECOVERY» METHOD IN THE COST MANAGEMENT by Y. Vorontsova, I. Barakhanova

“…It is considered how the method can be used in the various types of tasks (the account, planning, forecasting, rationing, optimization, etc.). The authors described the areas, where the method is applied the most effectively. …”
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An Enhanced Slime Mould Algorithm and Its Application for Digital IIR Filter Design by Xiaodan Liang, Dong Wu, Yang Liu, Maowei He, Liling Sun

“…Slime mould algorithm (SMA) is a novel swarm-based intelligence optimization algorithm. SMA solves the optimization problem by imitating the foraging and movement behavior of slime mould. …”
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A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm by Yisong Zheng, Xiuguo Zhang, Zijing Shang, Siyu Guo, Yiquan Du

“…The improved cultural particle swarm optimization algorithm is used to find the optimal steering angle within the range of the steering angle direction. …”
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Hypergraph-based resource allocation for Device-to-Device underlay H-CRAN network by Pan Zhao, Wenlei Guo, Datong Xu, Zhiliang Jiang, Jie Chai, Lijun Sun, He Li, Weiliang Han

“…To solve the non-convex mixed integer nonlinear optimization problem, the optimization model is decomposed into two sub-problems, which are all solvable quasi-convex power allocation and non-convex channel allocation. …”
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An Improved Harmony Search Algorithm for Proactive Routing Protocol in VANET by Ravie Chandren Muniyandi, Mohammad Kamrul Hasan, Mustafa Raad Hammoodi, Ali Maroosi

“…The harmony search (HS) is an emerging metaheuristic optimization algorithm with features of simplicity and exploration efficiency. …”
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Multivariate analysis of long-term climate data in connection with yield, earliness and the problem of global warming by V. M. Efimov, D. V. Rechkin, N. P. Goncharov

“…Future agricultural techniques in the Russian Federation should involve the optimization of land utilization. This optimization should apply algorithms for smart farming and take into consideration possible climate variations.  …”
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An Effective Variable Transformation Strategy in Multitasking Evolutionary Algorithms by Qingzheng Xu, Lei Wang, Jungang Yang, Na Wang, Rong Fei, Qian Sun

“…To address this issue, an effective variable transformation strategy and the corresponding inverse transformation are proposed in multitasking optimization scenario. After using variable transformation strategy, the estimated optimal solutions of all tasks are both near the center point of the unified search space. …”
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Spectral-energy efficiency tradeoff of massive MIMO by a constrained large-scale multi-objective algorithm through decision transfer by Qingzhu Wang, Tianyang Li

“…In summary, the optimization in large-scale space pushes the population to unconstrained Pareto front (PF), the optimization in small-scale space helps the population cross the infeasible areas to approach constrained PF, and the GD-based reproduction of offspring further guarantees the solution convergence. …”
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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…Specifically, support vector regression (SVR) was combined with three optimization algorithms: firefly algorithm (FFA), particle swarm optimization (PSO), and grey wolf optimization (GWO) to create hybrid models for estimating the SE of carbon fiber-reinforced mortars. …”
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Excavating trajectory planning of electric shovel based on dynamic excavating volume prediction by Juan Wu, Rui Liu, Baoguo Lin

“…Then, the trajectory model of the dipper tooth tip is established by using the 6th polynomial interpolation method, and the minimum excavation energy consumption per unit volume is taken as the optimization objective, and the whale optimization algorithm is used to plan the excavation trajectories for four kinds of complex stacking surfaces (concave, convex, convex–concave and stepped stacking surfaces). …”
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L-Lactic Acid Production by Lactobacillus rhamnosus ATCC 10863 by Ana Lívia Chemeli Senedese, Rubens Maciel Filho, Maria Regina Wolf Maciel

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Hybrid subQUBO Annealing With a Correction Process for Multi-Day Intermodal Trip Planning by Tatsuya Noguchi, Keisuke Fukada, Siya Bao, Nozomu Togawa

“…The multi-day intermodal trip planning problem (MITPP) is an optimization problem that seeks to create the optimal route to visit Point-of-Interest (POI) and hotels over days. …”
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Interval combined prediction of mine tunnel's air volume considering multiple influencing factors. by Zhen Wang, Erkan Topal, Liangshan Shao, Chen Yang

“…The grey correlation method is selected as the optimization criterion, and the preference coefficients are used to transform the multi-objective optimization problem into a single-objective optimization problem. …”
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Research on the Parameter Prediction Model for Fully Mechanized Mining Equipment Selection Based on RF-WOA-XGBoost by Yue Wu, Wenlong Sang, Xiangang Cao, Longlong He

“…Feature selection is performed based on the feature importance ranking obtained through the Random Forest (RF) method, thereby reducing the model complexity. Different optimization algorithms are used to optimize the hyperparameters of XGBoost, and the results show that the Whale Optimization Algorithm (WOA) outperforms other algorithms in terms of convergence speed and optimization effectiveness. …”
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UAV-Enabled Inspection System With No-Fly Zones: DRL-Based Joint Mobile Nest Scheduling and UAV Trajectory Design by Jin Dai, Yunfei Gao, Chao Cai, Wei Xiong, Manjia Liu

“…Then we propose an efficient two-step optimization method that involves optimizing the UAV trajectory with a modified multi-step dueling DDQN (MSD-DDQN) algorithm and planning the mobile nest’s path using the A* algorithm. …”
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Development of Refined Electromagnetic Models of Reciprocating Electric Generators with Permanent Magnets by A. B. Menzhinski, A. N. Malashin, P. B. Menzhinski

“…Therefore, at the initial stages of electromagnetic calculation and solving optimization problems, it is necessary to use adequate mathematical models to improve the accuracy of calculations of the parameters of these generators. …”
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