Optimization of High-Performance Computing Job Scheduling Based on Offline Reinforcement Learning by Shihao Li, Wei Dai, Yongyan Chen, Bo Liang

“…Experimental results demonstrate that, compared to heuristic and online DRL algorithms, the proposed approach achieves more efficient scheduling performance across various workloads and optimization goals, showcasing its practicality and broad applicability.…”
Get full text

An Effective QoS-Aware Hybrid Optimization Approach for Workflow Scheduling in Cloud Computing by Min Cui, Yipeng Wang

“…Furthermore, an improved Whale Optimization Algorithm (WOA) based on Lévy flight is proposed. …”
Get full text

Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

“…This study underscores the transformative role of computational infrastructure in addressing the challenges of modern energy systems, showcasing how advanced algorithms and HPC can enable scalable, adaptive, and sustainable energy optimization in smart cities. …”
Get full text

Optimization of design parameters and 3D-printing orientation to enhance the efficiency of topology-optimized components in additive manufacturing by Dame Alemayehu Efa, Dejene Alemayehu Ifa

“…Computer-aided design (CAD) is revolutionizing 3D object production in Additive Manufacturing (AM), especially enhancing the creation of complex optimized structures. …”
Get full text

MATHEMATICAL MODEL OF RESOURCE DISTRIBUTION OF THE COMPUTING CLUSTER OF CLOUD DATA CENTERS by V. P. Mochalov, G. I. Linets, N. Y. Bratchenko, I. S. Palkanov

“…The subject of the study is the distribution and load balancing systems of computing clusters of cloud data centers (data centers) containing a variety of servers, data storage systems, I/O system interconnected by a communication network. …”
Get full text

Optimization of Transformer Windings Based on FEA-XGBoost and NSGA-III Algorithm by Shi Bai-di, Jiang Yong-feng, Shang Jing-yu, Bao Ye-feng, Chen Bing-yan, Yang Ke

Get full text

Rethinking Metaheuristics: Unveiling the Myth of “Novelty” in Metaheuristic Algorithms by Chia-Hung Wang, Kun Hu, Xiaojing Wu, Yufeng Ou

Get full text

Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm by Jelili Oyelade, Itunuoluwa Isewon, Olufemi Aromolaran, Efosa Uwoghiren, Titilope Dokunmu, Solomon Rotimi, Oluwadurotimi Aworunse, Olawole Obembe, Ezekiel Adebiyi

Get full text

Multicluster Distributed Optimization Strategy for Turbine Wake Environment by Zhenping Yu, Xinmeng Zhou, Yedong Huang, Kunyu Zhou, Guangming Cui, Juntian Qu

“…The experimental results demonstrate that the proposed algorithm can effectively improve the computational efficiency of wake optimization, while ensuring the effect of the wake optimization algorithm in actual wind farms as much as possible, which is more in line with the wake optimization needs of actual wind farms. …”
Get full text

Machine learning approach for optimizing usability of healthcare websites by Amandeep Kaur, Jaswinder Singh, Satinder Kaur

Get full text

Discrete Sizing Optimization of Steel Structures Using Modified Fireworks Algorithm by Navid Seraji, Mehdi Babaei

Get full text

A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. …”
Get full text

Masterpiece Optimization Algorithm: A New Method for Solving Engineering Problems by Mohammad Reza Ghasemi, Nader Haji Aghajanpour, Hamed Ghohani Arab

Get full text

Ant Colony Optimization Algorithm for Workforce Planning: Influence of the Evaporation Parameter by Stefka Fidanova, Gabriel Luque, Olympia Roeva, Maria Ganzha

Get full text

Comparative Study: Defuzzification Functions and Their Effect on the Performance of the OFNbee Optimization Algorithm by Dawid Ewald, Wojciech Dobrosielski, Jacek M. Czerniak, Hubert Zarzycki

Get full text

Damage Detection of Steel Roof Systems Using Planet Optimization Algorithm by Thanh Sang-To, Van The Huy-Nguyen, Samir Khatir, The Vi-Huynh, Hoang Le-Minh, Thanh Cuong-Le

“…Through comparison with other famous algorithms, POA has outperformed computational cost with fast convergence speed. …”
Get full text

Learning Fuzzy Cognitive Maps using Structure Optimization Genetic Algorithm by Katarzyna Poczęta, Alexander Yastrebov, Elpiniki Papageorgiou

Get full text

Multi objective optimization algorithm for hybrid quantum harmonic oscillator and its application in rotor system optimization by Jun Li, Hal Gurgenci, Zhiqiang Guan, Jiaxin Wang, Junwen Chen, Chen Wang, Zhenyu Huang

“…We demonstrate the use of the quantum harmonic oscillator algorithms and hybrid genetic algorithm to capture the behavior of the high-fidelity model over the design space with reduced computational needs. …”
Get full text

DBO-AWOA: An Adaptive Whale Optimization Algorithm for Global Optimization and UAV 3D Path Planning by Tao Xu, Chaoyue Chen

“…The rapid expansion of unmanned aerial vehicle (UAV) applications in complex environments presents significant challenges in 3D path planning, particularly in overcoming the limitations of traditional methods for dynamic obstacle avoidance and computational efficiency. To address these challenges, this study introduces an adaptive whale optimization algorithm (DBO-AWOA), which incorporates chaotic mapping, nonlinear convergence factors, adaptive inertia mechanisms, and dung beetle optimizer-inspired reproductive behaviors. …”
Get full text

Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm by Shuxin Wang, Bingruo Xu, Yejun Zheng, Yinggao Yue, Mengji Xiong

“…When dealing with large-scale data or high-dimensional optimization challenges, the BKA algorithm entails significant computational expenses, which might lead to excessive memory usage or prolonged running durations. …”
Get full text