Suchergebnisse - comparing optimization algorithms

Comparing Optimization Algorithms in ANN Models for House Price Prediction in Pekanbaru

Autoren: Winarso, Doni Edo Arribe Syahril et al.

Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 781-787

Schlagwörter: Optimization, Stochastic Gradient Descent (SGD), Nadam, AdaDelta, Artificial Neural Network (ANN), Adaptive Moment Estimation (Adam), Adaptive Sharpness-Aware Minimization (ASAM), House Price Prediction

Dateibeschreibung: application/pdf

Zugangs-URL: https://jurnal.iaii.or.id/index.php/RESTI/article/view/6619

Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis

Autoren: Gjorgjina Cenikj Gašper Petelin Tome Eftimov

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :475-478

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Zugangs-URL: http://arxiv.org/abs/2507.01668

Evolutionary Multi-Objective Optimization for Maritime Tourism Resource Allocation: A Maritime Tourism Case Study Comparing Custom GA and NSGA-II Implementations

Autoren: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Weitere Verfasser: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Schlagwörter: maritime tourism, resource allocation, genetic algorithms, NSGA-II, multi-objective optimization, single-objective optimization, evolutionary algorithms, metaheuristics, combinatorial optimization, constraint satisfaction, multi-skilled resource-constrained project scheduling, Design Science Research Methodology, comparative analysis, statistical validation, operations research, scheduling optimization, Pareto optimization, weighted sum aggregation, domain-specific genetic operators, constraint handling, tour planning, guide assignment, vessel allocation, skipper scheduling, tourism operations, service optimization, operational efficiency, revenue optimization, real-world optimization, empirical evaluation, performance comparison, computational efficiency, solution quality, feasibility analysis, crowding distance, diversity maintenance, population-based optimization, stochastic optimization, optimization algorithms, resource utilization, capacity constraints, language compatibility, multilingual services, operational research, applied optimization, algorithmic comparison, strategic planning, emergency response, decision support systems, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 12 - Responsible production and consumption, SDG 14 - Life below water, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/190414

A methodology for comparing optimization algorithms for auto-tuning

Autoren: Floris-Jan Willemsen Richard Schoonhoven Jiří Filipovič et al.

Quelle: Future Generation Computer Systems. 159:489-504

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/1887/4172543

Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis

Autoren: Cenikj, Gjorgjina Petelin, Gašper Eftimov, Tome

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Neural and Evolutionary Computing (cs.NE)

Comparing Human Predictions from Expert Advice to On-line Optimization Algorithms

Autoren: Xia, Feng Zhu, Jianqiao Griffiths, Tom

Quelle: Proceedings of the Annual Meeting of the Cognitive Science Society. 45(45)

Schlagwörter: Behavioral Science, Decision making, Learning, Situated cognition, Mathematical modeling

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/50x5p55v
https://escholarship.org/content/qt50x5p55v/qt50x5p55v.pdf

Integrated optimisation of berth allocation and yard management in the parallel-layout automated container terminal under uncertainty.

Autoren: Duan, Shuang Zheng, Hongxing Wang, Zhaoyang

Quelle: International Journal of Production Research. Sep2025, p1-24. 24p. 10 Illustrations.

Schlagwörter: *CONTAINERIZATION, *UNCERTAINTY (Information theory), MIXED integer linear programming, OPTIMIZATION algorithms, CONTAINER terminals, SENSITIVITY analysis, DOCKS

Comparing optimization algorithms for parameter identification of sigmoid model for MR damper

Autoren: Davi Matias Dutra da Silva Suzana Moreira Avila Marcus Vinicius Girão de Morais et al.

Quelle: Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46

Schlagwörter: 0209 industrial biotechnology, 0103 physical sciences, 02 engineering and technology, 01 natural sciences

Best practices for comparing optimization algorithms

Autoren: Beiranvand, Vahid Hare, Warren Lucet, Yves

Quelle: Optimization and Engineering. 18:815-848

Schlagwörter: Algorithm comparison, Performance, Testing, 65K05, Optimization algorithms, Guidelines, Benchmarking, Optimization and Control (math.OC), FOS: Mathematics, Timing, Metric, F.2.1, G.1.6, Mathematics - Optimization and Control, Software

Zugangs-URL: http://arxiv.org/pdf/1709.08242
http://arxiv.org/abs/1709.08242
https://ui.adsabs.harvard.edu/abs/2017arXiv170908242B/abstract
https://arxiv.org/abs/1709.08242
https://arxiv.org/pdf/1709.08242.pdf
http://export.arxiv.org/pdf/1709.08242
https://core.ac.uk/display/93951084
https://link.springer.com/article/10.1007/s11081-017-9366-1

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

Estimation of R-Vine Copula Parameters in Multivariate Flood Frequency Analysis Using Arithmetic Optimization Algorithm and Comparing the Performance with Genetic Algorithm.

Autoren: Boustani, Mahsa Farzin, Saeed Mousavi, Sayed-Farhad

Quelle: Water Resources Management; Jun2025, Vol. 39 Issue 8, p3659-3677, 19p

Schlagwörter: WATER management, OPTIMIZATION algorithms, FLOOD damage, FLOOD control, PARAMETER estimation

Comparing the Efficiency of Particle Swarm and Harmony Search Algorithms in Optimizing the Muskingum–Cunge Model.

Autoren: Ahmadi, Rahleh Piri, Jamshid Galavi, Hadi et al.

Quelle: Water (20734441); Jan2025, Vol. 17 Issue 1, p104, 20p

Schlagwörter: OPTIMIZATION algorithms, CLIMATE change adaptation, PARTICLE swarm optimization, ARID regions climate, FLOOD routing

New measures for comparing optimization algorithms on dynamic optimization problems

Autoren: Alireza Rezvanian Mohammad Reza Meybodi Javidan Kazemi Kordestani

Quelle: Natural Computing. 18:705-720

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/content/pdf/10.1007%2Fs11047-016-9596-8.pdf
https://link.springer.com/article/10.1007/s11047-016-9596-8
https://dblp.uni-trier.de/db/journals/nc/nc18.html#KordestaniRM19
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902278247525890

Benchmarking Procedures for Continuous Optimization Algorithms

Autoren: Karol Opara Jarosław Arabas

Quelle: Journal of Telecommunications and Information Technology, Iss 4 (2023)

Schlagwörter: black-box optimization, comparing optimization algorithms, evaluation criteria, parallel computing, Telecommunication, TK5101-6720, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://jtit.pl/jtit/article/view/1180; https://doaj.org/toc/1509-4553; https://doaj.org/toc/1899-8852

Zugangs-URL: https://doaj.org/article/7b9d4b5a923248199e81c6b23cc9582c

Research on Load Decomposition and Optimization of Intelligent Elderly Care Service Based on Heuristic and Event Detection Algorithm.

Autoren: Miao, Lin ZhiWei, Liao

Quelle: International Journal of High Speed Electronics & Systems. Jun2025, Vol. 34 Issue 2, p1-17. 17p.

Schlagwörter: DETECTION algorithms, OPTIMIZATION algorithms, HEURISTIC algorithms, HIDDEN Markov models, HOME health aides, ANT algorithms

Bio-inspired resource allocation optimization using evolution-based genetic algorithm for vocational education skill development: A natural selection approach.

Autoren: Meng, Qiang Li, Zheng

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-23, 23p

Schlagwörter: RESOURCE allocation, VOCATIONAL education, EFFECTIVE teaching, MULTI-objective optimization, GENETIC algorithms, TALENT development

Comparing Optimization Algorithms for Shape Optimization of Extrusion Dies

Autoren: Johannes Kitschke Roland Siegbert Hatim Djelassi et al.

Quelle: PAMM. 14:789-794

Schlagwörter: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Zugangs-URL: https://www.onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.201410377
https://core.ac.uk/display/36621894

Application and practice of LILCEO sintering proportion optimization algorithm in sintering plant.

Autoren: Yi, Lingzhi Ren, Kai Wang, Yahui et al.

Quelle: Soldering & Surface Mount Technology. 2025, Vol. 37 Issue 1, p71-83. 13p.

Schlagwörter: *INVENTORY costs, OPTIMIZATION algorithms, MULTI-objective optimization, IRON ores, BLAST furnaces

Groundwater Pollution Source Identification via an Integrated Surrogate Model and Multiobjective Heuristic Optimization Algorithms.

Autoren: Hu, Shengjie Xu, Zuorong Zuo, Rui et al.

Quelle: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-20, 20p

Schlagwörter: GROUNDWATER pollution, SURROGATE-based optimization, METAHEURISTIC algorithms, MULTI-objective optimization, MACHINE learning, APPLIED sciences, APPROXIMATION theory, POLLUTION source apportionment

Comparing Optimization Algorithms for Item Selection in Mokken Scale Analysis

Autoren: Klaas Sijtsma J. Hendrik Straat L. Andries van der Ark

Quelle: Journal of Classification. 30:75-99

Schlagwörter: 0504 sociology, 05 social sciences, 0503 education

Zugangs-URL: https://research.tilburguniversity.edu/en/publications/922c1383-13a1-4cf4-998b-0e4f49123f9d
https://doi.org/10.1007/s00357-013-9122-y
https://econpapers.repec.org/article/sprjclass/v_3a30_3ay_3a2013_3ai_3a1_3ap_3a75-99.htm
https://www.narcis.nl/publication/RecordID/oai%3Atilburguniversity.edu%3Apublications%2F922c1383-13a1-4cf4-998b-0e4f49123f9d
https://research.tilburguniversity.edu/en/publications/comparing-optimization-algorithms-for-item-selection-in-mokken-sc
https://core.ac.uk/display/91123576
https://link.springer.com/article/10.1007/s00357-013-9122-y
https://dialnet.unirioja.es/servlet/articulo?codigo=4224500