Výsledky vyhledávání - Multi-objective optimisation algorithm

Grasshopper Optimization Algorithm for Multi-objective Optimization of Multi-pass Face Milling of Polyamide (PA6)

Autoři: Laouissi, Aissa Abderazek, Hammoudi Nouioua, Mourad a další

Zdroj: SAE International Journal of Materials and Manufacturing, 2023 Jan 01. 16(4), 379-386.

Přístupová URL adresa: https://www.jstor.org/stable/27350514

A Multi-Objective Optimisation Algorithm Based Design Method for Integrating Direct-Flex Photovoltaic Systems with Buildings

Autoři: Yi Xu Lingxiu Wang Zhaolu Wang a další

Zdroj: Journal of Combinatorial Mathematics and Combinatorial Computing. :17-33

Multi-objective Optimization of EREV Control Strategy with Pointer Hybrid Optimization Algorithm

Autoři: Zhang, Qingyong Lin, Weiping Wang, Yaru a další

Zdroj: Journal of Coastal Research, 2018 Oct 01, 713-719.

Přístupová URL adresa: https://www.jstor.org/stable/26543042

Inventory Control Method of Reverse Logistics for Shipping Electronic Commerce Based on Improved Multi-objective Particle Swarm Optimization Algorithm

Autoři: Yang, Wei Xie, Qianglai Li, Ming

Zdroj: Journal of Coastal Research, 2018 Oct 01, 786-790.

Přístupová URL adresa: https://www.jstor.org/stable/26543052

Multi-Objective Point Path Planning for Mobile Robots Based on Improved Dung Beetle Optimisation Algorithm

Zdroj: Journal of Sensor Technology and Application. 13:162-174

Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved evolutionary algorithm

Autoři: Liu, Tan Yuan, Qinyun Wang, Lina a další

Zdroj: Energy Exploration & Exploitation, 2021 Jan 01. 39(1), 273-298.

Přístupová URL adresa: https://www.jstor.org/stable/27024084

Multi-objective optimization for social multifamily housing: minimizing heating and cooling demand

Autoři: Benincá, Letiane

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura

Thesis Advisors: Crespo Sánchez, Eva, Passuello, Ana Carolina

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Multi-objective optimization, Genetic algorithm, NSGA-II, Energy efficiency, Cooling demand, Heating demand, EnergyPlus, Python, Social housing, Otimização multiobjetivo, Algoritmo genético, Eficiência energética, Demanda de resfriamento, Demanda de aquecimento, Habitação de interesse social, Optimización multiobjetivo, Demanda de refrigeración, Demanda de calefacción, Vivienda social, Optimització multiobjectiu, Algoritme genètic, Eficiència energètica, Demanda de refrigeració, Demanda de calefacció, Habitatge social, Àrees temàtiques de la UPC::Arquitectura, Àrees temàtiques de la UPC::Edificació

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/693063
https://dx.doi.org/10.5821/dissertation-2117-421449

Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm

Autoři: Saif Jamal Jagadeesh Pasupuleti Nur Azzammudin Rahmat a další

Zdroj: IEEE Access, Vol 12, Pp 41954-41966 (2024)

Témata: cost effective, multi-objective energy management, 0211 other engineering and technologies, Nanogrid, 02 engineering and technology, CO₂ emission, 7. Clean energy, TK1-9971, 12. Responsible consumption, 13. Climate action, IPOA, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, optimization

Přístupová URL adresa: https://doaj.org/article/0fbfbe92368e486fb928981372e9ef3c

MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM : CASE STUDY BABOLDASHT DISTRICT OF ISFAHAN, IRAN

Autoři: Sahebgharani, Alireza

Zdroj: Journal of Urban and Environmental Engineering, 2016 Jan 01. 10(1), 42-49.

Přístupová URL adresa: https://www.jstor.org/stable/26240810

Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method

Autoři: Neshat, M. Sergiienko, N. Y. Majidi Nezhad, Meysam a další

Zdroj: Applied Energy. 362

Témata: Genetic algorithms, Hybrid wave-wind energy systems, Multi-objective optimisation algorithm, Offshore wind turbine, Sustainable energy, Swarm-intelligence algorithms, Wave energy converters, Australia, Offshore oil well production, Offshore wind turbines, Power quality, Power takeoffs, Wave energy conversion, Wind power, Hybrid wave-wind energy system, Hybrid waves, Multi-objective optimization algorithm, Multi-objectives optimization, Optimization algorithms, Swarm intelligence algorithms, Wave wind, Wind energy systems, acceleration, damping, wave energy, wind turbine, Multiobjective optimization

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-66338
https://doi.org/10.1016/j.apenergy.2024.122955

Multi-objective optimization of the operation and maintenance assets of an offshore wind farm using genetic algorithms

Autoři: Rinaldi, Giovanni Pillai, Ajit C Thies, Philipp R a další

Zdroj: Wind Engineering, 2020 Aug 01. 44(4), 390-409.

Přístupová URL adresa: https://www.jstor.org/stable/26956681

Research On Replenishment Strategy Of Vegetable Commodities Based On Linear Programming And Multi-Objective Particle Swarm Optimisation Algorithm

Autoři: Bangjia Wang Xuanyu Jie Jiayu Chen

Zdroj: Journal of Education, Humanities and Social Sciences. 25:198-205

MOSRS: An engineering multi-objective optimization through Einsteinian concept

Autoři: Goodarzimehr, Vahid Pereira, João Luiz Junho Khodadadi, Nima

Zdroj: PLOS ONE. 20(7)

Témata: 46 Information and Computing Sciences (for-2020), 4602 Artificial Intelligence (for-2020), Bioengineering (rcdc), Algorithms (mesh), Engineering (mesh), Models, Theoretical (mesh), Algorithms (mesh), Models, Theoretical (mesh), Engineering (mesh), Algorithms (mesh), Engineering (mesh), Models, Theoretical (mesh), General Science & Technology (science-metrix)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/2h94h756
https://escholarship.org/content/qt2h94h756/qt2h94h756.pdf

A Comparative Benchmark Study of using Different Multi-Objective Optimization Algorithms for Restraint System Design

Autoři: Majcher, Monica Xu, Hongyi Fu, Yan a další

Zdroj: SAE International Journal of Transportation Safety, 2014 Jul 01. 2(2), 301-306.

Přístupová URL adresa: https://www.jstor.org/stable/26169285

Research on AIGC advertising strategy based on multi-objective optimisation algorithm

Zdroj: Journal of Combinatorial Mathematics and Combinatorial Computing.

Optimal proportioning of iron ore in sintering process based on improved multi-objective beluga whale optimisation algorithm

Autoři: Zong-ping Li Xu-dong Li Xue-tong Yan a další

Zdroj: Journal of Iron and Steel Research International. 31:1597-1609

Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II

Autoři: Matheus F. Torquato German Martinez-Ayuso Ashraf A. Fahmy a další

Zdroj: IEEE Access, Vol 9, Pp 149715-149731 (2021)

Témata: NSGA-II, optimisation, Electric arc furnace, 0211 other engineering and technologies, multi-objective optimisation, 02 engineering and technology, steel-making, 7. Clean energy, genetic algorithms, TK1-9971, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering

Přístupová URL adresa: https://doaj.org/article/41aff34d029947d8b8d4d0fe34e3b586
https://cronfa.swan.ac.uk/Record/cronfa58644/Download/58644__21729__f8204d2bfc484e39b77ec242c38d0774.pdf

Enhancing the Whale Optimisation Algorithm with sub-population and hybrid techniques for single- and multi-objective optimisation

Autoři: Zheng Cai Yit Hong Choo Vu Le a další

Zdroj: Soft Computing. 28:3941-3971

A Clustering-Based Whale Optimisation Algorithm for Multi-Objective Flexible Job Shop Problems

Autoři: Zheng Cai Yit Hong Choo Vu Le

Zdroj: 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS). :196-202

Optimization of skylight design for enhanced daylight performance in museum interiors using genetic algorithms and multi-objective optimization

Autoři: 李 恺

Témata: Daylight performance|Multi-objective optimization (MOO)|Gallery skylight|Parametric simulation|Visual comfort

Popis souboru: application/pdf

Přístupová URL adresa: https://ndlsearch.ndl.go.jp/books/R100000039-I13980093

Degree: 博士（工学） -- 北九州市立大学