Výsledky vyhledávání - multi-objective genetics algorithm explained

Optimization of multi-objective land use model with genetic algorithm

Autoři: Hasan Mutlu

Zdroj: Journal of Design for Resilience in Architecture and Planning; Vol. 1 No. 1 (2020); 15-32
Journal of Design for Resilience in Architecture and Planning, Vol 1, Iss 1, Pp 15-32 (2020)

Témata: Building construction, Architecture, 11. Sustainability, genetic algorithm, 0211 other engineering and technologies, spatial optimization, multi objective land use planning, 02 engineering and technology, 15. Life on land, NA1-9428, TH1-9745

Popis souboru: application/pdf

Přístupová URL adresa: https://drarch.org/index.php/drarch/article/download/21/1
https://drarch.org/index.php/drarch/article/view/21
https://doaj.org/article/23dfffe30bad463ab0fea083ec6b5682
https://drarch.org/index.php/drarch/article/download/21/1
https://drarch.org/index.php/drarch/article/view/21

Optimization of wavy fin‐and‐elliptical tube heat exchanger using CFD, multi‐objective genetic algorithm and radical basis function

Autoři: Chao Yu Xiangyao Xue Kui Shi a další

Zdroj: Energy Science & Engineering, Vol 9, Iss 9, Pp 1359-1372 (2021)

Témata: tube heat exchanger, Technology, field synergy, Science, 0103 physical sciences, CFD, 01 natural sciences, multi‐objective optimization

Přístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ese3.897
https://doaj.org/article/37cbc0e879774f1ab74165a06beb5bf3
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.897
https://onlinelibrary.wiley.com/doi/full/10.1002/ese3.897

Multi Objective Design Optimization of Split Journal Bearing Using Genetic Algorithm

Autoři: Prashant Nagare Mahesh Harne Vishnu Wakchaure a další

Multi-period and multi-objective stock portfolio modeling considering cone constraints

Autoři: Masoomeh Zeinalnezhad Zohreh Ebrahimi Towhid Pourrostam

Zdroj: International Journal of Research in Industrial Engineering, Vol 14, Iss 1, Pp 1-20 (2025)

Témata: genetic algorithm, optimization, stock portfolio, cone constraints, multi-objective modeling, discrete decisions, Industrial engineering. Management engineering, T55.4-60.8

Popis souboru: electronic resource

Relation: https://www.riejournal.com/article_202215_ee83dc829f577f994dd20dbbe84dad48.pdf; https://doaj.org/toc/2783-1337; https://doaj.org/toc/2717-2937

Přístupová URL adresa: https://doaj.org/article/7882d36633f34aaabca669aa603944be

A genetic algorithm based approach to solve multi-resource multi-objective knapsack problem for vegetable wholesalers in fuzzy environment

Autoři: Rajat Kumar Pal Chiranjit Changdar Abhinandan Khan a další

Zdroj: Operational Research. 20:1321-1352

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

Přístupová URL adresa: https://socionet.ru/publication.xml?h=repec:spr:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0392-3
https://link.springer.com/article/10.1007/s12351-018-0392-3
https://dblp.uni-trier.de/db/journals/or/or20.html#ChangdarPMK20
https://research.caluniv.ac.in/publication/a-genetic-algorithm-based-approach-to-solve-multi-resource

A multi-objective optimization model for sustainable supply chain network with using genetic algorithm

Autoři: Reza Ehtesham Rasi Mehdi Sohanian

Zdroj: Journal of Modelling in Management. 16:714-727

Témata: 13. Climate action, 0502 economics and business, 05 social sciences, 11. Sustainability, 7. Clean energy, 3. Good health, 12. Responsible consumption

Přístupová URL adresa: https://www.emerald.com/insight/content/doi/10.1108/JM2-06-2020-0150/full/html

Optimization of multi-objective land use model with genetic algorithm

Autoři: Mutlu, Hasan

Zdroj: Journal of Design for Resilience in Architecture and Planning; Vol. 1 No. 1 (2020); 15-32; 2757-6329

Témata: spatial optimization, genetic algorithm, multi objective land use planning, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion, Research Articles

URL: https://drarch.org/index.php/drarch/article/view/21
http://worldcat.org/search?q=on:TRDRA+https://drarch.org/index.php/drarch/oai+driver+CNTCOLL
https://drarch.org/index.php/drarch/article/view/21/1
https://drarch.org/index.php/drarch/article/view/21/1

Low-Latency Communication with Drone-Assisted 5G Networks

Autoři: Hamid Alshareefi Adil Abbas Majeed Ertegin Baigashkaev a další

Zdroj: Iranian Journal of Information Processing & Management, Vol 40, Iss ویژه نامه انگلیسی 4, Pp 765-796 (2025)

Témata: uavs, 5g networks, latency reduction, energy efficiency, signal-to-interference-plus-noise ratio (sinr), optimization algorithms, particle swarm optimization (pso), genetic algorithm (ga), the multi-objective evolutionary algorithm (moea), task scheduling, Bibliography. Library science. Information resources

Popis souboru: electronic resource

Relation: https://jipm.irandoc.ac.ir/article_728318_0898844e1cd0eb6977a588560992e7d1.pdf; https://doaj.org/toc/2251-8223; https://doaj.org/toc/2251-8231

Přístupová URL adresa: https://doaj.org/article/f296bfd5358649878a3f97c8d1a002a2

Optimal Water Quality Sensor Placement in Water Distribution Systems: A Computationally Cost-Effective Genetic Algorithm Framework.

Autoři: Zanelli, Elia Nicolini, Matteo Goi, Daniele

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 18, p2786, 22p

Témata: WATER quality, SENSOR placement, POLLUTION, ENVIRONMENTAL infrastructure, GENETIC algorithms, COST effectiveness

Optimizing Filter Element Seepage Well Layouts for Urban Flood Mitigation: A Multi-Objective Genetic Algorithm Approach.

Autoři: Yang, Yunfeng Li, Shunqun Zhou, Yan a další

Zdroj: Water (20734441); May2025, Vol. 17 Issue 9, p1367, 25p

Témata: PORE water pressure, SOIL permeability, CONSTRUCTION costs, TOPSIS method, SENSITIVITY analysis

Optimal design of a segmented thermoelectric generator based on three-dimensional numerical simulation and multi-objective genetic algorithm

Autoři: Ya Ge Zhichun Liu Wei Liu a další

Zdroj: Energy. 147:1060-1069

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://pubag.nal.usda.gov/catalog/6970311
https://ideas.repec.org/a/eee/energy/v147y2018icp1060-1069.html
https://www.sciencedirect.com/science/article/pii/S0360544218301178

RADIOTHERAPY EVOLUTIONARY ALGORITHM FURTHER 2D PARETO-MULTI OBJECTIVE OPTIMIZATION WITH BIOLOGICAL EFFECTIVE MODEL FOR HEAD-NECK CANCER HYPERFRACTIONATED TREATMENT

Autoři: Casesnoves, Francisco

Zdroj: INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH. 11

Témata: Pareto-Multiobjective Optimization (PMO),Mathematical Methods (MM), Biological Models (BM), Radiation Therapy (RT), Initial Tumor Clonogenes Number Population ( N0), Effective Tumor Population Clonogenes Number ( NEffective ), Linear Quadratic Model (LQM), Integral Equation (IE), Tumor Control Probability (TCP), Normal Tissue Complications Probability (NTCP), Biological Effective model (BED),Tumor Control Cumulative Probability (TCCP), Radiation Photon-Dose (RPD), Nonlinear Optimization, Radiotherapy Treatment Planning Optimization (TPO), Source-Surface Distance (SSD), Software Engineering Methods, Radiation Photon-Dose, Attenuation Exponential Factor (AEF), Nonlinear Optimization, Radiotherapy Wedge Filter (WF), Anisotropic Analytic Model (AAA), Fluence Factor (FF), Omega Factor (OF), Treatment Planning Optimization (TPO), Breast Tumor (BT),Artificial Intelligence (AI), Pareto-MultiobjectiveOptimization (PMO), Genetic Algorithms (GA)

Multi-objective optimization on bionic fractal structure for heat exchanging of single fluids by genetic algorithm.

Autoři: Yao, Zikang Pan, Lisheng Mu, Bai a další

Zdroj: International Journal of Heat & Fluid Flow. Dec2024, Vol. 110, pN.PAG-N.PAG. 1p.

Témata: *MULTI-objective optimization, *HEAT transfer, *HEAT flux, *BIOMIMETICS, *SOLAR panels

Robust H∞ controller based on multi-objective genetic algorithms for active magnetic bearing applied to cryogenic centrifugal compressor

Autoři: S. Y. Zhang Junmin Li J. H. Wu a další

Zdroj: 2017 29th Chinese Control And Decision Conference (CCDC). :46-51

Témata: 0209 industrial biotechnology, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/7978064/

A Physics-Guided Optimization Framework Using Deep Learning Surrogates for Multi-Objective Control of Combined Sewer Overflows.

Autoři: Li, Tianyu Gao, Jiabin Wang, Mengge a další

Zdroj: Water (20734441); Nov2025, Vol. 17 Issue 22, p3255, 25p

Témata: COMBINED sewer overflows, MULTI-objective optimization, RESILIENT design, PREDICTION models, GREEN infrastructure, URBAN runoff management, EVOLUTIONARY algorithms, MATHEMATICAL optimization

Synergistic medical genetic evolutionary optimization and deep convolutional generative augmentation with SHAP-driven interpretability for precise Alzheimer's disease severity grading.

Autoři: Bharath, H. C. Pradeep, N. Shashidhar, R. a další

Zdroj: Brain Informatics; 11/26/2025, Vol. 12 Issue 1, p1-20, 20p

Témata: ALZHEIMER'S disease, DEEP learning, MEDICAL genetics, DATA quality, DETECTION algorithms, DATA augmentation

Optimization of a hydrogen supply chain network design under demand uncertainty by multi-objective genetic algorithms

Autoři: Ochoa Robles, Jesus Azzaro-Pantel, Catherine Aguilar-Lasserre, Alberto a další

Přispěvatelé: Ochoa Robles, Jesus Azzaro-Pantel, Catherine Aguilar-Lasserre, Alberto a další

Témata: Génie des procédés, Hydrogen supply chain, Multiobjective optimization, Genetic algorithm, Fuzzy techniques, TOPSIS

Popis souboru: application/pdf

Relation: https://oatao.univ-toulouse.fr/27269/1/Robles_27269.pdf; HAL : hal-03125630; Ochoa Robles, Jesus and Azzaro-Pantel, Catherine and Aguilar-Lasserre, Alberto. Optimization of a hydrogen supply chain network design under demand uncertainty by multi-objective genetic algorithms. (2020) Computers & Chemical Engineering, 140. 106853. ISSN 0098-1354

Dostupnost: https://oatao.univ-toulouse.fr/27269/
https://doi.org/10.1016/j.compchemeng.2020.106853

RADIOTHERAPY EVOLUTIONARY ALGORITHM FURTHER 2D PARETO-MULTI OBJECTIVE OPTIMIZATION WITH BIOLOGICAL EFFECTIVE MODEL FOR HEAD-NECK CANCER HYPOFRACTIONATED TREATMENT

Autoři: Francisco Casesnoves

Témata: Pareto-Multiobjective Optimization (PMO),Mathematical Methods (MM), Biological Models (BM), Radiation Therapy (RT), Initial Tumor Clonogenes Number Population ( N0), Effective Tumor Population Clonogenes Number ( NEffective ), Linear Quadratic Model (LQM), Integral Equation (IE), Tumor Control Probability (TCP), Normal Tissue Complications Probability (NTCP), Biological Effective model (BED),Tumor Control Cumulative Probability (TCCP), Radiation Photon-Dose (RPD), Nonlinear Optimization, Radiotherapy Treatment Planning Optimization (TPO), Source-Surface Distance (SSD), Software Engineering Methods, Radiation Photon-Dose, Attenuation Exponential Factor (AEF), Radiotherapy Wedge Filter (WF), Anisotropic Analytic Model (AAA), Fluence Factor (FF), Omega Factor (OF), Treatment Planning Optimization (TPO), Breast Tumor (BT),Artificial Intelligence (AI), Pareto-MultiobjectiveOptimization (PMO), Genetic Algorithms (GA)

Relation: https://zenodo.org/records/7878729; oai:zenodo.org:7878729; https://doi.org/10.5281/zenodo.7878729

Dostupnost: https://doi.org/10.5281/zenodo.7878729
https://zenodo.org/records/7878729

Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research

Autoři: Nirupam Chakraborti

Zdroj: Materials Science and Technology. 30:1259-1262

Témata: 2. Zero hunger, 0203 mechanical engineering, 0103 physical sciences, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://www.tandfonline.com/doi/full/10.1179/1743284714Y.0000000578
https://www.tandfonline.com/doi/pdf/10.1179/1743284714Y.0000000578

Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm

Autoři: Nejad, Mohsen Fadaee

Témata: Energy storage, Genetic algorithms, Thesis, NonPeerReviewed

URL: http://psasir.upm.edu.my/id/eprint/47589/1/FK%202013%2066R.pdf
http://psasir.upm.edu.my/id/eprint/47589/
http://psasir.upm.edu.my/id/eprint/47589