Suchergebnisse - (avtomatizacija OR automation) programming general terms algorithms keywords coevolution*

Robust seru production optimisation under uncertain worker processing times.

Autoren: Wen, Muyang Zhang, Yuli Hu, Linyuan et al.

Quelle: International Journal of Production Research; Oct2025, Vol. 63 Issue 20, p7687-7727, 41p

Schlagwörter: ROBUST optimization, REINFORCEMENT learning, FLEXIBLE manufacturing systems, ANALYSIS of variance, LABOR time, CONSTRAINT satisfaction, EVOLUTIONARY computation, OPTIMIZATION algorithms

A Novel Sorting Route Planning Method for Irregular Sheet Parts in the Shipbuilding Process.

Autoren: Xing, Hongyan Luo, Cheng Song, Jichao et al.

Quelle: Journal of Marine Science & Engineering; Oct2025, Vol. 13 Issue 10, p1871, 20p

Schlagwörter: SHIPBUILDING, AUTOMATION, SORTING (Electronic computers), MATHEMATICAL programming, COMPUTER vision, LASER based sensors, ROUTE choice

Multilevel learning aided coevolutionary particle swarm optimization algorithm for multiobjective fuzzy flexible job shop scheduling problem.

Autoren: Chen, Juan Zhao, Hong Cui, Zhiya et al.

Quelle: Scientific Reports; 11/6/2025, Vol. 15 Issue 1, p1-23, 23p

Real-time AGV cluster scheduling using attention-enhanced PPO and strategy transfer in large-scale solar cell production workshops with multiple concurrent tasks.

Autoren: Zhou, Zhuo Xu, Liyun Chen, Yiyang et al.

Quelle: International Journal of Production Research; Dec2025, Vol. 63 Issue 24, p10677-10699, 23p

Multi-Autonomous Underwater Vehicle Trajectory Planning in Ocean Current Based on Hierarchical Hunting and Evolutionary Learning.

Autoren: BIN JIANG YINING WANG FANHUI KONG et al.

Quelle: ACM Transactions on Intelligent Systems & Technology; Oct2025, Vol. 16 Issue 5, p1-26, 26p

Schlagwörter: AUTONOMOUS underwater vehicles, TRAJECTORY optimization, OPTIMIZATION algorithms, GREY Wolf Optimizer algorithm, OCEAN currents, MACHINE learning, MULTIAGENT systems

Optimising distributed heterogeneous flowshop group scheduling arising from PCB mounting: integrating construction and improvement heuristics.

Autoren: Han, Zhenduo Zhang, Biao Sang, Hongyan et al.

Quelle: International Journal of Production Research; Mar2025, Vol. 63 Issue 5, p1753-1778, 26p

Schlagwörter: SEMICONDUCTOR manufacturing, SETUP time, LINEAR programming, PRINTED circuits, NP-hard problems

A stricter constraint dominance principle based algorithm for enhancing multi-performance in constrained multi-objective optimization.

Autoren: Yu, Fan Chen, Qun Li, Yange et al.

Quelle: Journal of the Operational Research Society; Dec2025, Vol. 76 Issue 12, p2507-2531, 25p

Schlagwörter: MULTI-objective optimization, OPTIMIZATION algorithms, CONSTRAINT programming, MATHEMATICAL optimization, HETEROGENEITY, FEASIBILITY studies

A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem.

Autoren: Han, Biao Pan, Quan-Ke Gao, Liang

Quelle: International Journal of Production Research; Jun2024, Vol. 62 Issue 12, p4245-4272, 28p

Schlagwörter: GREEDY algorithms, DISTRIBUTED algorithms, PERMUTATIONS, LINEAR programming, SCHEDULING

Firma/Körperschaft: NATIONAL Endowment for the Humanities

A novel multi-time scale collaborative process parameters optimisation framework for hot strip rolling process.

Autoren: Xu, Qingquan Dong, Jie Peng, Kaixiang

Quelle: International Journal of Production Research; Dec2025, Vol. 63 Issue 23, p8963-8983, 21p

Multimodal multi-objective state transition algorithm.

Autoren: Chu, Junwen Han, Xiaoxia Wu, Jinde et al.

Quelle: Cluster Computing; 2025, Vol. 28 Issue 11, p1-28, 28p

Schlagwörter: MULTI-objective optimization, PARETO optimum, MATHEMATICAL optimization, HETEROGENEITY, PROBLEM solving, DYNAMIC programming

Prediction-based decomposition optimisation for multi-portfolio supply chain resilience strategies under disruption risks.

Autoren: Yang, Yi Peng, Chen Cao, En-Zhi et al.

Quelle: International Journal of Production Research; Jan2025, Vol. 63 Issue 1, p241-262, 22p

Schlagwörter: SUPPLY chain disruptions, INTEGER programming, SUPPLY chains, COVID-19 pandemic, DECOMPOSITION method

OPTIMIZING ASSEMBLY LINE BALANCING WITH CARBON FOOTPRINT AND SPATIAL CONSTRAINTS: A CUSTOMIZED Q-LEARNING ALGORITHM.

Autoren: Yuchen Li Yuqing Tian

Quelle: International Journal of Industrial Engineering; 2025, Vol. 32 Issue 5, p1204-1222, 19p

Schlagwörter: ASSEMBLY line balancing, SUSTAINABILITY, MIXED integer linear programming, RESOURCE allocation, ECOLOGICAL impact, REINFORCEMENT learning, CONSTRAINT satisfaction, INDUSTRIAL efficiency

Matheuristic co-evolutionary algorithm for solving the integrated processing and transportation scheduling problem with processing-transportation composite robots Open Access.

Autoren: Zhang, Meizhou Zhou, Min Zhang, Liping et al.

Quelle: Journal of Computational Design & Engineering; Sep2025, Vol. 12 Issue 9, p131-161, 31p

TCDE: Differential Evolution for Topographical Contour-Based Prediction to Solve Multimodal Optimization Problems.

Autoren: Cheng, Zhen Zhang, Yun Fan, Caifu et al.

Quelle: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7557, 26p

Schlagwörter: DIFFERENTIAL evolution, OPTIMIZATION algorithms, BENCHMARK problems (Computer science), CONTOURS (Cartography), HEURISTIC, MATHEMATICAL optimization, MATHEMATICAL programming

Resource Scheduling Algorithm for Edge Computing Networks Based on Multi-Objective Optimization.

Autoren: Liu, Wenrui Zhu, Jiale Li, Xiangming et al.

Quelle: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10837, 30p

Schlagwörter: EDGE computing, MULTI-objective optimization, SCHEDULING, ENERGY consumption, SIMULATION methods & models, MARKOV processes, REINFORCEMENT learning

A graph partitioning based cooperative coevolution for the batching problem in steelmaking production.

Autoren: Wang, Gongshu Guo, Qingxin Xu, Wenjie et al.

Quelle: International Journal of Production Research; Oct2022, Vol. 60 Issue 19, p5876-5891, 16p, 4 Diagrams, 4 Charts

Schlagwörter: DIFFERENTIAL evolution, COEVOLUTION, STEELMAKING furnaces, STEEL manufacture, MASS production, CLASSIFICATION algorithms, MANUFACTURING processes

Applications, classifications, and challenges: a comprehensive evaluation of recently developed metaheuristics for search and analysis.

Autoren: Shaikh, Muhammad Suhail Raj, Saurav Zheng, Gengzhong et al.

Quelle: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-110, 110p

A parallel framework on hybrid architectures for raster-based geospatial cellular automata models.

Autoren: Gao, Huan Liang, Zhewei Guan, Qingfeng et al.

Quelle: International Journal of Geographical Information Science; Jul2024, Vol. 38 Issue 7, p1336-1359, 24p

Schlagwörter: CELLULAR automata, PARALLEL processing, PARALLEL programming, LAND use, PARALLEL algorithms, TRAFFIC flow, LAND mines

A Review of the Evolution of Multi-Objective Evolutionary Algorithms.

Autoren: Hanne, Thomas Moghaddam, Mohammad Jahani

Quelle: Computers, Materials & Continua; 2025, Vol. 85 Issue 3, p4203-4236, 34p

Schlagwörter: MULTI-objective optimization, ALGORITHMS, PARALLEL algorithms, COMPUTATIONAL intelligence

Data-driven optimization for automated warehouse operations decarbonization.

Autoren: Li, Haolin Wang, Shuaian Zhen, Lu et al.

Quelle: Annals of Operations Research; Dec2024, Vol. 343 Issue 3, p1129-1156, 28p

Schlagwörter: WAREHOUSE automation, ELECTRIC power consumption, CONSCIOUSNESS raising, CARBON emissions, LINEAR programming, AUTOMATED storage retrieval systems