Suchergebnisse - static randomized parallel road balancing algorithms*

Optimizing Advertising Billboard Coverage in Urban Networks: A Population-Weighted Greedy Algorithm with Spatial Efficiency Enhancements.

Autoren: Fu, Jiaying Qin, Kun

Quelle: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p300, 19p

Schlagwörter: BILLBOARDS, URBAN planning, MATHEMATICAL optimization, GREEDY algorithms, ADVERTISING, RESOURCE allocation, REINFORCEMENT learning

Geografische Kategorien: WUHAN (China)

Mathematical Modeling and Genetic Algorithm-Based Hyperheuristic Optimization for Quality of Service and Load Balancing in Cloud Communication Networks.

Autoren: Danach, Kassem Fouad Aly, Wael Hosny Haddad, Samir

Quelle: European Journal of Pure & Applied Mathematics; Jul2025, Vol. 18 Issue 3, p1-24, 24p

Schlagwörter: QUALITY of service, LOAD balancing (Computer networks), MATHEMATICAL optimization, SCALABILITY, COMMUNICATION infrastructure, METAHEURISTIC algorithms, GENETIC algorithms, RESOURCE allocation

Cloud-edge-end collaborative caching and UAV-assisted offloading decision based on the fusion of deep reinforcement learning algorithms.

Autoren: Zhu, Sifeng Song, Zhaowei Huang, Changlong et al.

Quelle: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-41, 41p

Recent Advances in Efficient Dynamic Graph Processing.

Autoren: Chen, Zi Liang, Keke Yuan, Long et al.

Quelle: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p6003, 34p

Schlagwörter: GRAPH algorithms, GRAPH coloring, DATA structures, COMPUTATIONAL complexity, SOCIAL media

Optimizing Emergency Response Efficiency in Urban Road Networks: A Data-Driven Approach for Fire Station Placement and Resource Allocation.

Autoren: Mohammadzadeh, Farhad Ahmadi, Amirhossein Khaksar, Reza Yeganeh et al.

Quelle: Future Transportation; Sep2025, Vol. 5 Issue 3, p123, 33p

Schlagwörter: FIRE stations, RESOURCE allocation, URBAN transportation, STATISTICS, EMERGENCY medical services, MATHEMATICAL optimization, GENETIC algorithms, TRAFFIC engineering

Geografische Kategorien: IRAN

A Review of Urban Path Planning Algorithms in Intelligent Transportation Systems.

Autoren: Tian, Zhenyu Yao, Huaqi Shao, Yu

Quelle: Algorithms; Nov2025, Vol. 18 Issue 11, p676, 16p

Schlagwörter: INTELLIGENT transportation systems, METAHEURISTIC algorithms, SUSTAINABLE transportation, DEEP learning, REAL-time computing, TRAFFIC congestion, ALGORITHMIC bias, URBAN planning

Analysis of Deep Reinforcement Learning Algorithms for Task Offloading and Resource Allocation in Fog Computing Environments.

Autoren: Ali, Endris Mohammed Abawajy, Jemal Lemma, Frezewd et al.

Quelle: Sensors (14248220); Sep2025, Vol. 25 Issue 17, p5286, 49p

Schlagwörter: RESOURCE allocation, QUALITY of service, MATHEMATICAL optimization, INTERNET of things, LOAD balancing (Computer networks), DISTRIBUTED computing, INQUIRY (Theory of knowledge), REINFORCEMENT learning

Orderly Charging Scheduling for EVs with a Novel Queuing Model Under Power Capacity Constraints.

Autoren: Wang, Bo Ge, Xianlong Jin, Yuanzhi et al.

Quelle: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12038, 36p

Schlagwörter: ELECTRIC vehicles, ELECTRIC vehicle charging stations, RESOURCE allocation, MATHEMATICAL optimization, QUEUING theory, EMPIRICAL research, HEURISTIC algorithms, LOAD management (Electric power)

Parallel continuous skyline query over high-dimensional data stream windows.

Autoren: Khames, Walid Hadjali, Allel Lagha, Mohand

Quelle: Distributed & Parallel Databases; Dec2024, Vol. 42 Issue 4, p469-524, 56p

Schlagwörter: MULTICORE processors, MULTIDIMENSIONAL databases, EMERGENCY management, PARALLEL processing, DATA transmission systems, PARALLEL algorithms

Decision Support System to Solve Single-Container Loading Problem Considering Practical Constraints.

Autoren: Romero-Olarte, Natalia Amézquita-Ortiz, Santiago Escobar, John Willmer et al.

Quelle: Mathematics (2227-7390); May2025, Vol. 13 Issue 10, p1668, 22p

Schlagwörter: DECISION support systems, HEURISTIC algorithms, STATISTICAL decision making, HEURISTIC, STATISTICS

Data-Driven Spatial Optimization of Elderly Care Facilities: A Study on Nonlinear Threshold Effects Based on XGBoost and SHAP—A Case Study of Xi'an, China.

Autoren: Liu, Linggui Lyu, Han Dai, Jinghua et al.

Quelle: ISPRS International Journal of Geo-Information; Oct2025, Vol. 14 Issue 10, p371, 35p

Schlagwörter: ELDER care, POPULATION aging, URBAN planning, NONLINEAR regression, SPATIAL arrangement, FACILITY management, MACHINE learning

Geografische Kategorien: CHINA, XI'AN Shi (China), SHAANXI Sheng (China)

Navigating the Blockchain Trilemma: A Review of Recent Advances and Emerging Solutions in Decentralization, Security, and Scalability Optimization.

Autoren: Reno, Saha Roy, Koushik

Quelle: Computers, Materials & Continua; 2025, Vol. 84 Issue 2, p2061-2119, 59p

Schlagwörter: SCALABILITY, BLOCKCHAINS, ALGORITHMS

A new procedure for optimizing neural network using stochastic algorithms in predicting and assessing landslide risk in East Azerbaijan.

Autoren: Ahmadi Dehrashid, Atefeh Dong, Hailong Fatahizadeh, Marieh et al.

Quelle: Stochastic Environmental Research & Risk Assessment; Oct2025, Vol. 39 Issue 10, p4407-4436, 30p

Schlagwörter: ARTIFICIAL neural networks, LANDSLIDE hazard analysis, STOCHASTIC analysis, MACHINE learning, MATHEMATICAL optimization, RECEIVER operating characteristic curves

Geografische Kategorien: IRAN, AZERBAIJAN (Iran)

Deep reinforcement learning-based schedule optimization for parallel precast production.

Autoren: Yao, Yuan Tam, Vivian WY Wang, Jun et al.

Quelle: Engineering Construction & Architectural Management (09699988); 2025, Vol. 32 Issue 13, p285-318, 34p

Schlagwörter: SCHEDULING, PRODUCTION scheduling, PROCESS optimization, REINFORCEMENT learning, PRECAST concrete construction, RESOURCE allocation, COMPUTER performance, SCHEDULING software

An improved heuristic service deployment algorithm based on multi-parameter priority in edge computing.

Autoren: Yin, Zhenyu Bi, Zhiying Xue, Junyao et al.

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 7, p1-20, 20p

Schlagwörter: EDGE computing, GENETIC algorithms, CLUSTERING algorithms, LONG short-term memory, RESOURCE allocation, COMPUTATIONAL complexity

Multi-strategy collaborative improved Snake Optimizer for complex optimization problems and 3D UAV path planning.

Autoren: Wang, Heng Yang, Kai Chen, Jiadui et al.

Quelle: Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-39, 39p

Schlagwörter: MATHEMATICAL optimization, OPTIMIZATION algorithms, HETEROGENEITY, METAHEURISTIC algorithms, LEVY processes, AERONAUTICAL navigation

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.

Autoren: Islam, Md. Fahim Ul Hossain, Shahriar Alam, Md. Golam Rabiul et al.

Quelle: PLoS ONE; 10/21/2025, Vol. 20 Issue 10, p1-38, 38p

Schlagwörter: ARTIFICIAL intelligence, BANDWIDTH allocation, ELECTRONIC data processing, CONVOLUTIONAL neural networks, QUALITY of service, OPTIMIZATION algorithms, LATENT variables

Systematic Literature Review of Optimization Algorithms for P || C max Problem.

Autoren: Ostojić, Dragutin Ramljak, Dušan Urošević, Andrija et al.

Quelle: Symmetry (20738994); Feb2025, Vol. 17 Issue 2, p178, 68p

Schlagwörter: GENERATIVE artificial intelligence, OPTIMIZATION algorithms, COMBINATORIAL optimization, ONLINE databases, OPEN scholarship

Swarm intelligence techniques and their applications in fog/edge computing: an in-depth review.

Autoren: Ghafari, Reyhane Mansouri, Najme

Quelle: Artificial Intelligence Review; Nov2025, Vol. 58 Issue 11, p1-182, 182p

A reinforcement learning enforced adaptive large neighbourhood search algorithm for the production and delivery optimization in an additive manufacturing-enabled supply chain.

Autoren: Cui, Weiwei Zhu, Jianhui Yuan, Biao

Quelle: Journal of the Operational Research Society; Nov2025, Vol. 76 Issue 11, p2377-2396, 20p

Schlagwörter: REINFORCEMENT learning, OPTIMIZATION algorithms, MIXED integer linear programming, LOGISTICS, ARTIFICIAL intelligence, RAPID prototyping, PROCESS optimization