Výsledky vyhľadávania - "Multi-Objective genetic algorithms(MOGAs)"

Sustainable fixed-charge fuzzy multi-objective 5D shortest path problem using aspiration level-based NSGAS: application to aquatic fish haul system.

Autori: Todkar, Aniket Sarjerao Dhodiya, Jayesh Mohan

Zdroj: RAIRO: Operations Research (2804-7303); 2025, Vol. 59 Issue 5, p3375-3401, 27p

Predmety: SUSTAINABILITY, CARBON emissions, ROUTING algorithms, MATHEMATICAL optimization, AQUATIC habitats, MULTI-objective optimization, FUZZY logic, GENETIC algorithms

Revalorization of Vinasse as a Farmland Improver Through Multi-Objective Genetic Algorithms: A Circular Economy Approach.

Autori: Montiel-Rosales, Aarón Montalvo-Romero, Nayeli Fernández-Lambert, Gregorio a ďalší

Zdroj: Land (2012); Jul2025, Vol. 14 Issue 7, p1359, 26p

Predmety: VINASSE, SOIL fertility, INTEGRATED waste management, SOILS, SOIL conditioners, MULTI-objective optimization, CIRCULAR economy, SUGARCANE growing

Geografický termín: MEXICO

Development of a Multi-Objective Model for Predicting the Mechanical Properties of Plant Fiber Composites.

Autori: Theethan, Bothichandar Singh, Bhim

Zdroj: Journal of Scientific & Technical Research; 2025, Vol. 15 Issue 1, p27-40, 14p

Predmety: MULTI-objective optimization, PREDICTION models, MATHEMATICAL optimization, ARTIFICIAL intelligence, BIODEGRADABLE materials, FIBROUS composites, ENGINEERING, MECHANICAL behavior of materials

A contribution to the finite element analysis of high-speed compressible flows and aerodynamics shape optimization

Autori: Kouhi Esfahani, Mohammad

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria

Thesis Advisors: Oñate, E. (Eugenio), Bugeda, G. (Gabriel)

Zdroj: TDX (Tesis Doctorals en Xarxa)

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/129730
https://dx.doi.org/10.5821/dissertation-2117-95130

Non-Cutting Moving Toolpath Optimization with Elitist Non-Dominated Sorting Genetic Algorithm-II.

Autori: Demir, Gamze Acar Vural, Revna

Zdroj: Applied Sciences (2076-3417); Jun2024, Vol. 14 Issue 11, p4471, 18p

Predmety: AUTOMATION, TRAJECTORY optimization, NUMERICAL control of machine tools, GENETIC algorithms, EVOLUTIONARY algorithms

Optimization heuristics for scheduling observations in remote sensing missions: multi-instrument case

Autori: Universitat Politècnica de Catalunya. Departament de Física Soria Guerrero, Manel Torre Sangrà, David de la a ďalší

Témy: Àrees temàtiques de la UPC::Aeronàutica i espai, Space flights, Genetic algorithms, Multispectral photography, Remote sensing, Vols espacials, Algorismes genètics, Fotografia multiespectral, Teledetecció, Master thesis

URL: http://hdl.handle.net/2117/423811

Cascade Hydropower System Operation Considering Ecological Flow Based on Different Multi-Objective Genetic Algorithms.

Autori: Chen, Yubin Wang, Manlin Zhang, Yu a ďalší

Zdroj: Water Resources Management; Jun2023, Vol. 37 Issue 8, p3093-3110, 18p

Predmety: GENETIC algorithms, ENVIRONMENTAL protection, WATER supply, WATER use, WATER power

Combining multi-objective genetic algorithm and neural network dynamically for the complex optimization problems in physics.

Autori: Wang, Peilin Ye, Kuangkuang Hao, Xuerui a ďalší

Zdroj: Scientific Reports; 1/20/2023, Vol. 13 Issue 1, p1-10, 10p

Predmety: MULTI-objective optimization, RADIO frequency, PROBLEM solving, ALGORITHMS, PHYSICS

Enhanced Non-Dominated Sorting Genetic Algorithms for Uncertain Multi-Objective Shortest Path Problem: Application to Fire Prevention Services.

Autori: Todkar, Aniket S. Dhodiya, Jayesh M.

Zdroj: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Nov2024, Vol. 32 Issue 8, p1215-1244. 30p.

Predmety: *LEVEL of aspiration, *FIRE prevention, *DIRECTED graphs, *SENSITIVITY analysis, *ALGORITHMS

Uncertain multi-objective multi-route shortest path problem by robust enhanced non-dominated sorting genetic algorithms: Application to emergency medical services.

Autori: Todkar, Aniket Dhodiya, Jayesh

Zdroj: Journal of Industrial & Management Optimization; Nov2024, Vol. 20 Issue 11, p1-33, 33p

Predmety: LEVEL of aspiration, GENETIC algorithms, EMERGENCY medical services, SENSITIVITY analysis, ALGORITHMS

Multi-objective Windy Postman Problem in a Fuzzy Transportation Network

Autori: PAL, Debosree SHARMA, Haresh Kumar PRENTKOVSKIS, Olegas a ďalší

Zdroj: Promet (Zagreb), Vol 37, Iss 4, Pp 853-873 (2025)
Promet-Traffic&Transportation
CODEN POMEEZ
Volume 37
Issue 4

Predmety: transportation, Transportation engineering, TA1001-1280, windy postman problem, epsilon constraint method, performance metrics, multi-objective genetic algorithms

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/c975a3ac029842e0a690df5b13103dbc

Multi-UAV Task Allocation Based on Grid-Based Particle Swarm and Genetic Hybrid Algorithm.

Autori: Xiong, Yuting Zhang, Liang

Zdroj: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3591, 20p

Predmety: PARTICLE swarm optimization, GENETIC algorithms, ALGORITHMS, DRONE aircraft, MULTI-objective optimization

Configuration Optimization of a Plate Fin Precooler Based on Multi-Objective Grey Wolf Optimizer.

Autori: Zhao, Changyin Xu, Zhe Ning, Xin a ďalší

Zdroj: Energies (19961073); Nov2025, Vol. 18 Issue 22, p5952, 21p

Predmety: MULTI-objective optimization, GREY Wolf Optimizer algorithm, PARAMETRIC modeling, HEAT exchangers, MATHEMATICAL optimization, THERMAL conductivity, MULTIDISCIPLINARY design optimization, MODEL validation

Adaptive multi-omics integration framework for breast cancer survival analysis.

Autori: Hasanzadeh, Esmaeil Charkari, Nasrollah Moghadam

Zdroj: Scientific Reports; 11/3/2025, Vol. 15 Issue 1, p1-14, 14p

Predmety: BREAST cancer, MULTIOMICS, GENETIC programming, SURVIVAL analysis (Biometry), DATA integration, CANCER research, BIOMARKERS, PROGNOSIS

Grey relational analysis for optimizing fracture toughness properties of 3D-printed PLA/carbon fiber composites.

Autori: Mishra, Vishal Bharat, Nikhil Veeman, Dhinakaran a ďalší

Zdroj: Progress in Additive Manufacturing; Nov2025, Vol. 10 Issue 11, p10077-10089, 13p

Thermal and Electrical Performance Analysis of Molded Metal-Filled Polymer Composites in Pouch-Type Battery Modules.

Autori: Tan, Fuat Alkan, Ahmet Kerem

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11528, 27p

Predmety: POLYMERIC composites, METAL-filled plastics, SIMULATION software, TEMPERATURE control, INJECTION molding, ENERGY storage, ELECTRIC conductivity, THERMAL stability

Uncertain programming models for multi-objective shortest path problem with uncertain parameters.

Autori: Majumder, Saibal Kar, Mohuya B. Kar, Samarjit a ďalší

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jun2020, Vol. 24 Issue 12, p8975-8996, 22p

Predmety: GOAL programming, GENETIC algorithms, DIRECTED graphs, GRAPH connectivity, EXPECTED returns, UNCERTAINTY, UNCERTAIN systems

Geografický termín: BERLIN (Germany)

Mejora de arquitecturas cloud utilizando Metamorphic Testing y técnicas de optimización multiobjetivo

Autori: Núñez Covarrubias, Alberto Cerro Cañizares, Pablo Pérez de la Rubia, Miguel

Témy: master thesis

URL: https://hdl.handle.net/20.500.14352/107018

A Hardware Implementation Method of Multi-Objective Genetic Algorithms

Autori: Tachibana, Tatsuhiro Murata, Yoshihiro Shibata, Naoki a ďalší

Témy: Pareto optimisation, approximation theory, genetic algorithms, knapsack problems, pipeline processing, approximation techniques, concurrent pipelines, hardware circuits, hardware implementation method, island GA, minimal generation gap, multiobjective genetic algorithms, multiobjective knapsack problem, niching method, pareto optimal solutions, special selection mechanism, Ant colony optimization, Circuits, Field programmable gate arrays, Genetic algorithms, Hardware, Indium tin oxide, Information processing, Information science, Pipelines, Steady-state, Conference Paper, AM

URL: http://hdl.handle.net/10061/11345
https://naist.repo.nii.ac.jp/?action=repository_action_common_download&item_id=5036&item_no=1&attribute_id=17&file_no=1
https://doi.org/10.1109/CEC.2006.1688708
https://doi.org/10.1109/CEC.2006.1688708

Improving Multi-Objective Test Case Selection by Injecting Diversity in Genetic Algorithms.

Autori: Panichella, Annibale Oliveto, Rocco Penta, Massimiliano Di a ďalší

Zdroj: IEEE Transactions on Software Engineering; Apr2015, Vol. 41 Issue 4, p358-383, 26p

Predmety: GENETIC algorithms, COMBINATORIAL optimization, SINGULAR value decomposition, MATRICES (Mathematics), PARTICLE swarm optimization