Suchergebnisse - Hyper-heuristic optimization algorithm

LLMOA: A novel large language model assisted hyper-heuristic optimization algorithm

Autoren: Zhong, Rui Hussien, Abdelazim Yu, Jun et al.

Quelle: Advanced Engineering Informatics. 64

Schlagwörter: Hyper-heuristic algorithm (HHA), Large language model (LLM), Prompt engineering, Low-level heuristics (LLHs), Evolutionary computation (EC)

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-211170

An interpretable dual-output multivariate wind speed interval prediction scheme using hyper-heuristic optimization algorithm and deep neural networks

Autoren: Mengzheng Lv Jianzhou Wang Shuai Wang et al.

Quelle: Applied Soft Computing. 185:113829

A genetic programming hyper-heuristic with whale optimization algorithm for the dynamic resource-constrained multi-project scheduling problems

Autoren: Yutong Chao Cunbo Zhuang Haoxin Guo et al.

Quelle: Expert Systems with Applications. 295:128881

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors

Autoren: Zhong, Rui Zhang, Enzhi Munetomo, Masaharu

Index Begriffe: Hyper-heuristics, Bio-inspired optimization algorithm, Improvement-based probabilistic selection function, Continuous optimization, 007, article (author version)

URL: http://hdl.handle.net/2115/94093

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors.

Autoren: Zhang, Enzhi Munetomo, Masaharu Zhong, Rui

Index Begriffe: Hyper-heuristics, Bio-inspired optimization algorithm, Improvement-based probabilistic selection function, Continuous optimization, 007, Journal Article., AM.

URL: http://hdl.handle.net/2115/94093
https://doi.org/10.1007/s11227-024-05909-0
https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/94093/1/EMSMO.pdf

Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm

Autoren: Hongmei Fei Ruru Liu Leilei Dong et al.

Quelle: Agriculture, Vol 15, Iss 11, p 1156 (2025)

Schlagwörter: hyper-heuristic whale optimization algorithm, Agriculture (General), route planning, unmanned aerial vehicle, dung beetle optimization algorithm, S1-972

Zugangs-URL: https://doaj.org/article/136ce1c7507140ef842f341806948a2b

A novel hyper-heuristic algorithm: an application to automatic voltage regulator.

Autoren: Hinislioglu, Yunus Guvenc, Ugur

Quelle: Neural Computing & Applications. Dec2024, Vol. 36 Issue 34, p21321-21364. 44p.

Schlagwörter: *METAHEURISTIC algorithms, *OPTIMIZATION algorithms, *VOLTAGE regulators, *LEVY processes, *BIOLOGICAL evolution, *DIFFERENTIAL evolution

An ant colony optimization based hyper-heuristic for the mixed model assembly line balancing problem with setups: An ant colony optimization based hyper-heuristic...: Ş. Akpinar.

Autoren: Akpinar, Şener¹ (AUTHOR) sener.akpinar@deu.edu.tr

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Nov2024, Vol. 28 Issue 21, p12587-12602. 16p.

Schlagwörter: *ASSEMBLY line balancing, *ANT algorithms, *SETUP time, *ASSIGNMENT problems (Programming)

An Improved Farmland Fertility Algorithm with Hyper-Heuristic Approach for Solving Travelling Salesman Problem

Autoren: Gharehchopogh, Farhad Soleimanian Abdollahzadeh, Benyamin Arasteh, Bahman et al.

Weitere Verfasser: Gharehchopogh, Farhad Soleimanian Abdollahzadeh, Benyamin Arasteh, Bahman et al.

Quelle: Computer Modeling in Engineering & Sciences. 135:1981-2006

Schlagwörter: Optimization, Travelling Salesman Problem, Lin-Kernighan, Farmland Fertility Optimization Algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/20.500.12713/3606
https://hdl.handle.net/20.500.12713/3320

Hyper-heuristic Ant Colony Optimization Algorithm for Multi-objective Two-Echelon Vehicle Routing Problem with Time Windows

Autoren: Qiu-Yi Shen Ning Guo Rong Hu et al.

Quelle: Lecture Notes in Computer Science ISBN: 9789819947546

A shuffled frog leaping-based hyper heuristic algorithm for material feeding scheduling optimization in an automatic monorail shuttle system

Autoren: Binghai Zhou Lingwei Zhao

Hybrid Henry gas solubility optimization algorithm with dynamic cluster-to-algorithm mapping

Autoren: Zamli, K. Z. Kader, M. A. Azad, S. et al.

Quelle: Neural Computing & Applications. 33:8389-8416

Schlagwörter: Henry Gas Solubility Optimization Algorithm, Hybrid meta-heuristic algorithm, Search-based Software Engineering, Heuristic algorithms, Mapping, Optimization, Solubility, Adaptive switching, Dynamic cluster, Hyper-heuristic algorithms, Meta heuristic algorithm, Multiple clusters, Optimization algorithms, Search Algorithms, Team formation, Clustering algorithms, Datavetenskap, Computer Science

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-83498

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

A hyper-heuristic for improving the initial population of whale optimization algorithm

Autoren: Seyedali Mirjalili Mohamed Abd Elaziz

Quelle: Knowledge-Based Systems. 172:42-63

Schlagwörter: Artificial intelligence, Data management and data science, Machine learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Psychology, 02 engineering and technology, 14. Life underwater

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0950705119300632
https://dblp.uni-trier.de/db/journals/kbs/kbs172.html#El-AzizM19
https://research.torrens.edu.au/en/publications/a-hyper-heuristic-for-improving-the-initial-population-of-whale-o

Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms

Autoren: Iztok Fajfar Árpád Bűrmen Janez Puhan

Quelle: Genetic Programming and Evolvable Machines. 19:473-504

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/article/10.1007/s10710-018-9324-5
https://dblp.uni-trier.de/db/journals/gpem/gpem19.html#FajfarBP18
https://doi.org/10.1007/s10710-018-9324-5

An interpretable dual-output multivariate wind speed interval prediction scheme using hyper-heuristic optimization algorithm and deep neural networks.

Autoren: Lv, Mengzheng Wang, Jianzhou Wang, Shuai et al.

Quelle: Applied Soft Computing. Dec2025:Part A, Vol. 185, pN.PAG-N.PAG. 1p.

Schlagwörter: Wind speed, Artificial neural networks, Uncertainty (Information theory), Confidence intervals, Ensemble learning, Heuristic, Multivariate analysis

Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm.

Autoren: Fei, Hongmei Liu, Ruru Dong, Leilei et al.

Quelle: Agriculture; Basel; Jun2025, Vol. 15 Issue 11, p1156, 33p

Schlagwörter: METAHEURISTIC algorithms, OPTIMIZATION algorithms, AGRICULTURAL drones, DUNG beetles, LATIN hypercube sampling

A comparison of meta-heuristic and hyper-heuristic algorithms in solving an urban transit routing problems

Autoren: Muklason, Ahmad Ahlan Robbani, Shof Rijal Riksakomara, Edwin et al.

Quelle: IAES International Journal of Artificial Intelligence (IJ-AI); Vol 13, No 3: September 2024; 2923-2933 ; 2252-8938 ; 2089-4872 ; 10.11591/ijai.v13.i3

Schlagwörter: soft computig, computer science, operation research, Hill climbing, Hyper-heuristics, Particle swarm optimization, Simulated annealing, Urban transit routing problem

Dateibeschreibung: application/pdf

Relation: https://ijai.iaescore.com/index.php/IJAI/article/view/22971/14100; https://ijai.iaescore.com/index.php/IJAI/article/view/22971

Verfügbarkeit: https://ijai.iaescore.com/index.php/IJAI/article/view/22971
https://doi.org/10.11591/ijai.v13.i3.pp2923-2933

Parallel Hyper-Heuristic Algorithm for Multi-Objective Route Planning in a Smart City

Autoren: Yuan Yao Zhe Peng Bin Xiao et al.

Weitere Verfasser: Yuan Yao Zhe Peng Bin Xiao et al.

Quelle: IEEE Transactions on Vehicular Technology. 67:10307-10318

Schlagwörter: Parallel computing, Multi-objective optimization problem (MOOP), 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Hyper-heuristics, Safety index, Route planning, 7. Clean energy

Zugangs-URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8456612
https://ieeexplore.ieee.org/document/8456612
https://dblp.uni-trier.de/db/journals/tvt/tvt67.html#YaoPX18

A hybrid hyper-heuristic whale optimization algorithm for reusable launch vehicle reentry trajectory optimization

Autoren: Ya Su Ying Dai Yi Liu

Quelle: Aerospace Science and Technology. 119:107200

Schlagwörter: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S1270963821007100