Multi objective reinforcement learning driven task offloading algorithm for satellite edge computing networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

“…This algorithm improves the DQN algorithm by incorporating a satellite resource clustering module, a DDQN algorithm, and a competitive network mechanism module. …”
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THE MODIFICATION OF THE RRT ALGORITHM FOR THE OPTIMAL TRAJECTORY DETERMINING OF THE MOTION VEHICLE WITH THE OBSTACLES AVOIDANCE by I. Z. Akhmetzyanov, M. A. Ionov, V. S. Karabcev

“…The results of development and the software  implementation, and the research of the algorithm for constructing quasi- optimal trajectory of an unmanned vehicle in a known environment are  shown. …”
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Research on Parallel Multi-objective Optimal Submarine Cable Route Planning Algorithm by JIANG Jiarui, ZHAO Zanshan, DUAN Maosheng, GAO Guanjun

“…【Objective】In order to solve the problem that the traditional Ant Colony Optimization (ACO) algorithm updates the same map, resulting in the inability of parallel planning, a parallel multi-objective optimization submarine cable route planning algorithm is proposed in this paper, which realizes the precise planning of local areas.…”
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Algorithm and software for the optimal technological design of a system of simple distillation columns by N. N. Ziyatdinov, I. I. Emelyanov, A. A. Ryzhova, P. S. Chernakov

“…The performance of the algorithm and software package has been evaluated using the optimal design of the debutanization column as an example.…”
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Trajectory Optimization of Hypersonic Periodic Cruise Using an Improved PSO Algorithm by Hesong Li, Yi Wang, Shangcheng Xu, Yunfan Zhou, Dan Su

“…Periodic cruise has the potential to improve the fuel-saving efficiency of hypersonic cruise vehicles but is difficult to optimize. In this paper, hypersonic periodic cruise trajectory is analyzed theoretically and optimized by an improved Particle Swarm Optimization algorithm. …”
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Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…The proposed method employs Dung Beetle Optimization (DBO) with Deep Learning, simulating the beetle’s foraging behavior to optimize feature selection and classification performance. …”
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Optimizing Lecture Scheduling Using Genetic Algorithm: A Case Study at Universitas Riau by Reno Widi Respati, Dian Ramadhani

“…Genetic algorithms were selected due to their effectiveness in solving complex optimization problems and producing efficient solutions in a relatively short time. …”
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Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

“…Comparative analysis with existing approaches, including deep learning methods, shows that our optimized tree-based models achieve comparable or superior performance while maintaining computational efficiency. …”
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Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm by V. Rajinikanth, K. Latha

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A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems by Wali Khan Mashwani, Zia Ur Rehman, Maharani A. Bakar, Ismail Koçak, Muhammad Fayaz

“…In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark functions and various real-world problems. …”
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A Simplified Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization by Hong Ji, Cai Dai

“…Evolutionary algorithms based on hypervolume have demonstrated good performance for solving many-objective optimization problems. …”
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Cervical Cell Nuclear Segmentation Method Based on Optimized MSER Algorithm by HE Yong jun, ZHANG Xue yuan, SHAO Hui li, DING Bo

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A Novel Gravity ‎Optimization Algorithm for Extractive Arabic Text Summarization by Mustafa J. Hadi, Ayad R. Abbas, Osamah Y. Fadhil

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Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization by Lianbo Ma, Hanning Chen, Kunyuan Hu, Yunlong Zhu

“…Simulation results show that the proposed algorithm is superior for solving RNP, in terms of optimization accuracy and computation robustness.…”
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Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

“…In this paper, we deal with the use of the earthworm optimization algorithm (EOA) in foraging to estimate and extract the intrinsic electrical parameters of single-, double-, and triple-diode solar cells and photovoltaic modules across different technologies. …”
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GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR by Phuong Le Ngo

“…This paper presents components and procedures of genetic algorithms, and its implementation on computer. In optimization process, analytical and finite element method are used together for better performance and precision. …”
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Classification algorithm of loin swarm optimization kernel extreme learning machine by Liu Xinjian, Sun Zhonghua

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Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm by Hussein Ridha Sayegh, Wang Dong, Bahaa Hussein Taher, Muhanad Mohammed Kadum, Ali Mansour Al-madani

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An Efficient Resource Allocation Algorithm for Task Offloading in the Internet of Vehicles by Ahmad Salehi, Sadoon Azizi

“…We model this challenge as an Integer Linear Programming (ILP) problem, aiming to maximize the system’s overall profit. To mitigate the computational complexity of solving the ILP problem, we propose an efficient heuristic algorithm. …”
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Optimizing Photovoltaic Power Prediction Using Computational Methods and Artificial Neural Networks by Cempaka Amalin Mahadzir, Ahmad Fateh Mohamad Nor, Siti Amely Jumaat, Noor Syahirah Ahmad Safawi

“…Since solar power output is fluctuating and depends on climatic, geographical and temporal factors, precise prediction requires the implementation of computational approaches. The aim of this research is to develop ANN algorithms that anticipate solar power output and enhance the structure of them by incorporating the derating factor due to dirt (kdirt) into account. …”
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