Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm by Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed Gamal Abdel-Fattah, Islam Ismael, Hossam El.Deen Salah Mostafa

“…Experimental implementation revealed that incorporating the Ninja Optimization Algorithm with the QTM model delivered the best R2 performance at 95.15% with an exceptional RMSE value of 0.00003, thus establishing its ability to optimize renewable energy forecasting accuracy.…”
Get full text

Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm by Ke Wu, Yuefa Guo, Ke Wang, Zhenliang Chen

“…The proposed model is solved using a novel Hiking Optimization Algorithm (HOA), and comparative analysis across different scenarios is conducted to investigate the impact of the carbon trading strategy on low-carbon operation, alongside an evaluation of the system’s economic and environmental performance under reasonable scheduling of both the carbon trading strategy and flexible loads. …”
Get full text

A Multi-Strategy Improved Horned Lizard Optimization Algorithm and Its Application in Engineering Optimization by Yancang Li, Jinfan Zhang, Zidong Jin, Weitao Qiao

“…Statistical analyses including the Wilcoxon rank sum test (p < 0.05), Friedman’s test, and solution distribution visualization validate the robustness of the algorithm against local optimal stagnation. In the engineering optimization example, the average cost of the pressure vessel problem was reduced by 55.6%, while the optimal value with the lowest standard deviation verified its stability in terms of solution accuracy, convergence speed, and stability. …”
Get full text

An innovative genetic algorithm-based master schedule to optimize job shop scheduling problem by Thi Phuong Quyen Nguyen, Thi Hoa Thuong Le

“…Consequently, the objective of this study is to develop an advanced method to optimize the production scheduling problem. Accordingly, this study proposes an innovative genetic algorithm-based master schedule (GA-MS) focused on minimizing makespan. …”
Get full text

Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

“…Simulation results demonstrate that the proposed algorithm reduces the average path length by 15.4% and 7.5% compared to traditional genetic algorithm and particle swarm optimization, respectively, while improving computational efficiency by 45.5% and 16.8%.…”
Get full text

An Iterative Optimization Algorithm for Planning Spacecraft Pathways Through Asteroids by Valentino Santucci

“…In this article, we explore the use of meta-heuristic algorithms for costly black-box permutation optimization problems. …”
Get full text

Optimized Power Allocation Algorithms for UAV-Based Agricultural Systems by Ayman Massaoudi, Walid Aydi

“…Additionally, we employ an uplink heuristic power control algorithm (UHPCA) to determine the optimal power allocation. …”
Get full text

Multiple strategy enhanced hybrid algorithm BAGWO combining beetle antennae search and grey wolf optimizer for global optimization by Fan Zhang, Chuankai Liu, Peng Liu, Shuiting Ding, Tian Qiu, Jiajun Wang, Huipeng Du

“…Abstract This study proposes BAGWO, a novel hybrid optimization algorithm that integrates the Beetle Antennae Search algorithm (BAS) and the Grey Wolf Optimizer (GWO) to leverage their complementary strengths while enhancing their original strategies. …”
Get full text

Enhanced zebra optimization algorithm and applications of power allocation in SDWN by LI Jiajia, DONG Ligang, JIANG Xian

“…By introducing exploration factors and perturbation parameters into the zebra optimization algorithm, EZOA enhanced global search and local exploitation capabilities, while also improving the foraging strategy to increase algorithm diversity. …”
Get full text

Optimization of Iterative Algorithms for Focusing Light Through Scattering Media by Yulan Zhou, Xun Li

“…Two independent processes, characterizing the transmission matrix (TM) of the scattering media and calculating the phase compensation of the SPM, are included in our optimized algorithm. While the TM of the scattering media is determined through the interference effect and the light reciprocity principle, the phase compensation of the SPM is calculated using the Rayleigh&#x2013;Sommerfeld diffraction theory. …”
Get full text

Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor by Martin Heinrich, Rüdiger Schwarze

Get full text

Analysis and Optimization of Flapping-Wing Mechanism Based on Genetic Algorithm by Yunyu Ling, Benyou Liu, Hongxin Zhang, Lan Bo, Mingjie Liu

“…Inspired by the wing-flapping action of birds, this study considers the inherent dynamics among vehicle mechanisms to optimize the vehicle’s geometric parameters. The goal is for the vehicle to imitate the wing-flapping action of birds while minimizing energy consumption and the peak torque during flapping. …”
Get full text

Majorisation‐minimisation algorithm for optimal state discrimination in quantum communications by Neel Kanth Kundu, Prabhu Babu, Petre Stoica

“…Our numerical simulations demonstrate that the proposed QMM algorithm significantly outperforms the state‐of‐the‐art SDP algorithm in terms of speed, while maintaining comparable performance for solving QSD problems in quantum communication applications.…”
Get full text

Optimization of constant-speed control algorithm for high-speed EMUs by XIONG Yan, ZHOU Shangru, XU Qing, HUANG He

Get full text

Sequential Memetic Algorithm Optimization for Allocation Planning in Hostelry Establishments by Rubén Ferrero-Guillén, Alberto Martínez-Gutiérrez, Rubén Álvarez, Javier Díez-González

“…Existing approaches to this problem fail to address both the TLP and CLP simultaneously, thus resulting in suboptimal solutions achieved by imposing optimization constraints. Therefore, in this paper, a sequential optimization methodology based on a GBLS MA (Gradient-Based Local Search Memetic Algorithm) optimizations is proposed for optimizing the table and chair disposition simultaneously while also considering scenario and distancing restrictions. …”
Get full text

(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

“…Abstract To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimization (GWO) algorithm—referred to as WOA-GWO. …”
Get full text

ALGORITHM FOR OPTIMIZING ORGANIC CARBON AND NITROGEN FLOWS ON RECLAIMED LANDS by Mikhail N. Lytov

“…The working hypothesis of the research is that any level of agrocenosis bioproductivity requires a proportional amount of decomposable organic matter, which should not exceed a certain share of labile organic matter contained in the soil. Results. An algorithm that operates with two main regulators: the application mass of mineral nitrogen and organic matter, and determines the optimal balance for them, ensuring at least a non-negative trend in stable humus reproduction while achieving target indicators for the level of agrocenosis bioproductivity, has been developed. …”
Get full text

Tower Crane Layout Planning: Multi-Optimal Solutions Algorithm by Xiaokang Huang, Huazhou Chen, Rui Wang, Heng Wang, Shuai Li, Pengfei Zhang, Zhen Yang

“…Effective tower crane layout planning is essential for the success of construction projects. Traditional optimization algorithms, which often provide a single optimal solution, may not always reveal the global optimum, leaving room for doubt. …”
Get full text

Scheduling Optimization of Sugarcane Harvest Using Simulated Annealing Algorithm by Eka Nur Afifah, Alamsyah Alamsyah, Endang Sugiharti

Get full text

Global–Local Cooperative Optimization in Photonic Inverse Design Algorithms by Mingzhe Li, Tong Wang, Yi Zhang, Yulin Shen, Jie Yang, Ke Zhang, Dehui Pan, Ming Xin

“…Compared to the conventional Direct Binary Search (DBS), the GLINT algorithm not only significantly enhances computational efficiency through its global search–local refinement framework but also achieves a superior 20 nm × 20 nm optimization resolution while maintaining its optimization speed—substantially advancing the design capability. …”
Get full text