Reinforcement learning meets technical analysis: combining moving average rules for optimal alpha by Javier H. Ospina-Holguín, Ana M. Padilla-Ospina

“…The algorithm is trained to optimize alpha, a widely used measure of risk-adjusted return. …”
Get full text

Optimization of Distribution Path considering Cost and Customer Satisfaction under New Retail Modes by Dengqing Wang, Yuting Yang, Yanhu Wang

“…One of the top issues in logistics management and related research is to establish an effective distribution system that is adaptive to new retail and capable of lowering the cost of logistics while enhancing consumer satisfaction. Aimed at reversing the weak points of current logistics distribution patterns, a dual-objective bipolar model with optimal logistics cost and consumer satisfaction by restraining distribution time and load is tested in this paper to figure out the proper nodes and vehicle routes. …”
Get full text

Modeling of Global and Individual Kinetic Parameters in Wheat Straw Torrefaction: Particle Swarm Optimization and Its Impact on Elemental Composition Prediction by Ismael Urbina-Salas, David Granados-Lieberman, Martín Valtierra-Rodríguez, Claudia Adriana Ramírez-Valdespino, David Aarón Rodríguez-Alejandro

Get full text

Research on Stability Optimization for Automatic Train Operation of Heavy-haul Trains of Baoshen Railway by FU Shangyuan

“…During the departing stage, the optimization algorithm effectively improved operational stability on steep grades, and increased the departing speed by about 11.1%. …”
Get full text

Adaptive Bayesian optimization for proportional derivative control in double-acting piston pump ventilators by Cong Toai Truong, Trung Dat Phan, Van Tu Duong, Huy Hung Nguyen, Thanh Truong Nguyen, Tan Tien Nguyen

“…The method integrates a conventional proportional derivative control algorithm with Bayesian optimization to rapidly determine optimal control parameters without a precise system model and adaptively re-tune these parameters in response to fluctuations in patient respiratory conditions. …”
Get full text

Pareto Optimal Solutions for Stochastic Dynamic Programming Problems via Monte Carlo Simulation by R. T. N. Cardoso, R. H. C. Takahashi, F. R. B. Cruz

“…The results obtained attest for the efficiency and efficacy of the algorithm in solving these important stochastic optimization problems.…”
Get full text

Design and Parameter Optimization of Trajectory Correction Control Strategy for Air Duct Structure Projectile by Silin Cui, Xing Liu, Shoushan Jiang, Wei Wu

“…Finally, the PSO-CS hybrid algorithm is used to design the calculation method of the optimization model and solve the optimal correction working parameters. …”
Get full text

A novel framework for optimizing residential load response planning with consideration of user satisfaction by Mohammad Hossein Erfani Majd, Gholam-Reza Kamyab, Saeed Balochian

“…The proposed method utilizes the Meerkat Optimization Algorithm (MOA), which is compared against other optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Teaching-Learning-Based Optimization (TLBO). …”
Get full text

Novel hybrid arithmetic-equilibrium optimizer as robust tuner for power system stabilizer (PSS) parameters in interconnected electrical power system by Imam Robandi, Mohamad Almas Prakasa, Muhammad Ruswandi Djalal, Shigemasa Takai, Arimbi Kumala Sari, Mochammad Adri Satria Musti

“…The algorithms are hybridized in unique ways to utilize the features in both Arithmetic Optimizer (AO) and Equilibrium Optimizer (EO). …”
Get full text

ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

“…In the second component, we introduce an intra-mode selection algorithm based on gradient descent, which utilizes block gradient features to optimize and determine the final intra-prediction mode. …”
Get full text

Time-Optimal Stabilization of Asynchronous Boolean Control Networks Under State and Control Constraints by Haonan Wang, Shuping Wang, Ruohai Xi, Shuhua Gao

“…We propose a systematic approach based on an iterative algorithm that efficiently computes the basin of attraction (BoA) of a steady state and constructs a state feedback control law to ensure time-optimal stabilization from any initial state in the BoA to the steady state. …”
Get full text

An Impulse-C Hardware Accelerator for Packet Classification Based on Fine/Coarse Grain Optimization by O. Ahmed, S. Areibi, R. Collier, G. Grewal

“…This paper seeks to explore the design space of translating the PCIU algorithm into hardware by utilizing several optimization techniques, ranging from fine grain to coarse grain and parallel coarse grain approaches. …”
Get full text

Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions by Majid Hosseina, Mahmoud Samiei Moghaddam, Amir Hassannia

“…The superiority of MOMFA over conventional optimization techniques such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO) is validated through simulations on a realistic 33-node microgrid under various renewable energy outage scenarios. …”
Get full text

Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…Subsequently, a forward labeling-based multi-objective path planning algorithm is proposed to develop an optimization model. …”
Get full text

Research of MIP-HCO Model Based on k-Nearest Neighbor and Branch-and-Bound Algorithms in Aerospace Emergency Launch Missions by Xiangzhe Li, Feng Zhan, Jinqing Huang, Yan Chen

“…The B&B algorithm solves mission scheduling, while a dynamic adjustment strategy optimizes launch vehicle reutilization. …”
Get full text

Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme by Mohammed Ashraf Ali, Ahmad H. Besheer, Hassan M. Emara, Ahmed Bahgat

“…Abstract The challenge of optimizing battery operating revenue while mitigating aging costs remains inadequately addressed in current literature. …”
Get full text

Optimizing frequency stability with adaptive fast frequency reserves and Wide-Area Monitoring Systems by Bwandakassy Elenga Baningobera, Irina Oleinikova, Kjetil Uhlen

“…The adaptive algorithm’s ability to adjust to varying system conditions reduces the risk of over-shedding or under-shedding loads, thereby optimizing the system’s performance. …”
Get full text

Intelligent energy optimization for advanced IoT analytics edge computing on wireless sensor networks by Israel Edem Agbehadji, Samuel Ofori Frimpong, Richard C Millham, Simon James Fong, Jason J Jung

“…The proposed algorithm (referred to as DEEC-KSA) was integrated with a distributed energy-efficient clustering algorithm to ensure efficient energy optimization and was evaluated through simulation and compared with benchmarked clustering algorithms. …”
Get full text

МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN by CHEN BiMin, HUANG XiaoDi

“…Taking the crashworthiness index of the honeycomb as the optimization goal, in the design space of the gradient honeycomb, the multi-objective optimization algorithm is directly used to determine the specific parameters of each layer of the gradient honeyeomb. …”
Get full text

Optimal Model-Free Mean-Square Consensus for Multi-Agents with Markov Switching Topology by Ruoxun Ma, Lipo Mo, Bokang Zhou

“…The goal is to design an appropriate algorithm to find the optimal control policies that minimize the performance index while achieving consensus among the agents. …”
Get full text