Suchergebnisse - constraint-based constructive heuristic algorithms

Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics

Autoren: Junheng Cheng Feng Chu Peng Wu et al.

Weitere Verfasser: Junheng Cheng Feng Chu Peng Wu et al.

Quelle: Annals of Operations Research. 296:471-494

Schlagwörter: Time-of-use (TOU), 0211 other engineering and technologies, ϵ-constraint-based constructive heuristic algorithms, 02 engineering and technology, Bi-objective optimization, 7. Clean energy, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], Energy-conscious batch scheduling

Zugangs-URL: https://link.springer.com/article/10.1007/s10479-019-03494-7
https://hal.archives-ouvertes.fr/hal-02424362
https://tel.archives-ouvertes.fr/IBISC/hal-02424362

Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics.

Autoren: Wu, Peng Cheng, Junheng Chu, Feng

Quelle: Annals of Operations Research; Jan2021, Vol. 296 Issue 1/2, p471-494, 24p

Schlagwörter: ELECTRICITY pricing, KNAPSACK problems, HEURISTIC algorithms, HEURISTIC, INDUSTRIAL costs

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

A Memetic and Reflective Evolution Framework for Automatic Heuristic Design Using Large Language Models.

Autoren: Qi, Fubo Wang, Tianyu Zheng, Ruixiang et al.

Quelle: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8735, 26p

Schlagwörter: HEURISTIC, LANGUAGE models, HEURISTIC algorithms, METAHEURISTIC algorithms, MATHEMATICAL optimization, HEURISTIC programming

An Actor–Critic-Based Hyper-Heuristic Autonomous Task Planning Algorithm for Supporting Spacecraft Adaptive Space Scientific Exploration.

Autoren: Zhang, Junwei Lyu, Liangqing

Quelle: Aerospace (MDPI Publishing); May2025, Vol. 12 Issue 5, p379, 43p

Schlagwörter: OPTIMIZATION algorithms, SPACE exploration, SPACE environment, MACHINE learning, REINFORCEMENT learning

Fusion of cluster analysis and differential particle swarm optimisation for multi-UAV task assignment on power transmission line.

Autoren: Jiang, Hao Lin, Sicheng Chen, Jing et al.

Quelle: Engineering Computations; 2025, Vol. 42 Issue 4, p1447-1470, 24p

Schlagwörter: PARTICLE swarm optimization, ELECTRIC lines, HEURISTIC algorithms, DIFFERENTIAL evolution, CLUSTER analysis (Statistics)

An Interval Integrated Optimization to Air‐Cargo Hub Network Design and Airline Fleet Planning.

Autoren: Wang, Yu Zhu, Tao Yuan, Kaibo et al.

Quelle: Journal of Advanced Transportation; 11/21/2024, Vol. 2024, p1-26, 26p

Schlagwörter: HEURISTIC algorithms, TRANSPORTATION planning, GENETIC algorithms, OPERATING costs, CONSTRUCTION costs, NETWORK hubs

Using an Airport Pavement Management System to Optimize the Influence of Maintenance Alternatives on Operating Conditions.

Autoren: Di Graziano, Alessandro Costa, Antonio Ragusa, Eliana

Quelle: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 16, p7158, 15p

Schlagwörter: PAVEMENT management, AIRPORT management, HEURISTIC algorithms, INDUSTRIAL efficiency, K-means clustering

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review.

Autoren: Kaveh, Mehrdad Mesgari, Mohammad Saadi

Quelle: Neural Processing Letters; Aug2023, Vol. 55 Issue 4, p4519-4622, 104p

Schlagwörter: ARTIFICIAL neural networks, DEEP learning, METAHEURISTIC algorithms, BACK propagation, MACHINE learning, NP-hard problems

A Weighted and Epsilon-Constraint Biased-Randomized Algorithm for the Biobjective TOP with Prioritized Nodes.

Autoren: Agud-Albesa, Lucia Garrido, Neus Juan, Angel A. et al.

Quelle: Computation; Apr2024, Vol. 12 Issue 4, p84, 20p

Schlagwörter: ORIENTEERING, ALGORITHMS, CONSUMERS, ORIENTEERS, DECISION making

An estimation of distribution algorithm-based hyper-heuristic for the blocking flowshop group scheduling problem.

Autoren: Zhang, Sen Qian, Bin Hu, Rong et al.

Quelle: Memetic Computing; Sep2025, Vol. 17 Issue 3, p1-28, 28p

Makespan Minimization for the Two-Stage Hybrid Flow Shop Problem with Dedicated Machines: A Comprehensive Study of Exact and Heuristic Approaches.

Autoren: Hajji, Mohamed Karim Hadda, Hatem Dridi, Najoua

Quelle: Computation; Jul2023, Vol. 11 Issue 7, p137, 25p

Schlagwörter: FLOW shops, PRODUCTION scheduling, TABU search algorithm, HEURISTIC, CONSTRAINT programming, MATHEMATICAL optimization, MACHINERY

Service coverage optimization for facility location: considering line-of-sight coverage in continuous demand space.

Autoren: Ma, Xiaoya Zhang, Xiaoyu Zhao, Xiang

Quelle: International Journal of Geographical Information Science; Jul2023, Vol. 37 Issue 7, p1496-1519, 24p

Schlagwörter: HEURISTIC algorithms, COMPUTATIONAL geometry, SMART cities, MUNICIPAL services, SEARCH algorithms, CONSTRAINED optimization

Grouping and scheduling multiple sports leagues: an integrated approach.

Autoren: Li, Miao Goossens, Dries

Quelle: Journal of the Operational Research Society; Apr2025, Vol. 76 Issue 4, p739-757, 19p

Schlagwörter: SIMULATED annealing, ATHLETIC leagues, INTEGER programming, TEAM sports, NP-hard problems

Hybridising heuristics within an estimation distribution algorithm for examination timetabling.

Autoren: Qu, Rong Pham, Nam Bai, Ruibin et al.

Quelle: Applied Intelligence; Jun2015, Vol. 42 Issue 4, p679-693, 15p

Schlagwörter: HEURISTIC algorithms, DISTRIBUTION (Probability theory), SCHEDULING, EXAMINATIONS, DECISION support systems

Iterated Greedy Algorithms for Flow-Shop Scheduling Problems: A Tutorial.

Autoren: Zhao, ZiYan Zhou, MengChu Liu, ShiXin

Quelle: IEEE Transactions on Automation Science & Engineering; Jul2022, Vol. 19 Issue 3, p1941-1959, 19p

Schlagwörter: FLOW shop scheduling, GREEDY algorithms, PRODUCTION scheduling, HEURISTIC algorithms

A Hybrid Heuristic Algorithm for Solving COVID-19's Social Distancing at Universities Campus.

Autoren: Al-Tarawneh, Hassan Al-Kaabneh, Khalid Alhroob, Aysh et al.

Quelle: Computer Systems Science & Engineering; 2022, Vol. 41 Issue 3, p933-944, 12p

Schlagwörter: HEURISTIC algorithms, COVID-19 pandemic, SOCIAL distancing, AUTOMATED planning & scheduling, STUDENT attitudes

Job shop scheduling with a combination of four buffering constraints.

Autoren: Liu, Shi Qiang Kozan, Erhan Masoud, Mahmoud et al.

Quelle: International Journal of Production Research; May2018, Vol. 56 Issue 9, p3274-3293, 20p, 8 Diagrams, 3 Charts, 3 Graphs

Schlagwörter: PRODUCTION scheduling, JOB shops, BUFFER stocks, GANTT charts, MIXED integer linear programming, HEURISTIC algorithms

Research on Green Vehicle Path Planning of AGVs with Simultaneous Pickup and Delivery in Intelligent Workshop.

Autoren: Zheng, Xiaojun Gao, Feng Tong, Xiaoying

Quelle: Symmetry (20738994); Aug2023, Vol. 15 Issue 8, p1505, 29p

Schlagwörter: VEHICLE routing problem, AUTOMATED guided vehicle systems, DIFFERENTIAL evolution, HEURISTIC algorithms, ENERGY consumption

A systematic mapping study on solving university timetabling problems using meta-heuristic algorithms.

Autoren: Bashab, Abeer Ibrahim, Ashraf Osman AbedElgabar, Eltayeb E. et al.

Quelle: Neural Computing & Applications; Dec2020, Vol. 32 Issue 23, p17397-17432, 36p

Schlagwörter: HEURISTIC algorithms, SELF-adaptive software, METAHEURISTIC algorithms, ALGORITHMS, EXPECTATION (Psychology), LITERATURE studies, OPEN-ended questions