Výsledky vyhledávání - Pareto multi-objective genetic algorithm

Genetic algorithm application in multi-objective optimization of structural parameters and PID controller parameters on bus driver seat's suspension system

Autoři: Pham Ngoc Dai

Zdroj: FME Transactions, Vol 53, Iss 3, Pp 426-436 (2025)

Témata: multi-objective optimization, genetic algorithm, Mechanics of engineering. Applied mechanics, pareto, TA349-359, pid controller, TA1-2040, Engineering (General). Civil engineering (General), 3dof quarter model

Přístupová URL adresa: https://doaj.org/article/1c528f576d9a465880d354dd5e1b7f27

Genetic algorithm with normal boundary intersection for multi-objective early/tardy scheduling problem with carbon-emission consideration: a Pareto-optimum solution

Autoři: Hudaifah Hudaifah Andriansyah Andriansyah Khaled Al-Shareef a další

Zdroj: Neural Computing and Applications. 36:2493-2506

Smart pareto-optimized genetic algorithm for energy-efficient clustering and routing in wireless sensor networks.

Autoři: Rajalakshmi, M. Ponni Alias Sathya, S.

Zdroj: Scientific Reports; 10/8/2025, Vol. 15 Issue 1, p1-21, 21p

Témata: ENERGY consumption, WIRELESS sensor networks, ROUTING systems, GENETIC algorithms, NETWORK performance, CLUSTERING algorithms, TECHNOLOGICAL innovations, MULTI-objective optimization

Reliable and efficient multi-objective task scheduling for multiple-payload satellite based on genetic algorithm strengthened deep reinforcement learning.

Autoři: Li, Lu Shi, Qi Wen, Zhijiang a další

Zdroj: Advances in Space Research. Nov2025, Vol. 76 Issue 9, p5419-5434. 16p.

Témata: *MULTI-objective optimization, *GENETIC algorithms, *RESOURCE allocation, *SPACE vehicles, *REINFORCEMENT learning, *SCHEDULING

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

Autoři: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Přispěvatelé: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Témata: 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

Popis souboru: application/pdf

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

Multi-Objective Emergency Path Planning Based on Improved Nondominant Sorting Genetic Algorithm.

Autoři: Yuan, Yiren Xu, Hang Tang, Cuiyong

Zdroj: Symmetry (20738994). Nov2025, Vol. 17 Issue 11, p1818. 28p.

Témata: *MULTI-objective optimization, *GENETIC algorithms, *DRONE aircraft, *MATHEMATICAL optimization, *MOUNTAIN ecology, *OBSTACLE avoidance (Robotics), *EMERGENCY management, *LOGISTICS

Multi-objective Optimization of Staggered Tube Banks in Cross-flow Using Machine Learning and Genetic Algorithm

Autoři: A. Tamanaei F. Kowsary S. Sahamifar a další

Zdroj: Journal of Applied Fluid Mechanics, Vol 18, Iss 9, Pp 2163-2179 (2025)

Témata: machine learning, multi-objective optimization, heat transfer, genetic algorithm, TJ1-1570, cross-flow staggered tube banks, Mechanical engineering and machinery

Přístupová URL adresa: https://doaj.org/article/194d1299d95b4af48276e91988565eaf

Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints

Autoři: Antkiewicz, Michał Myszkowski, Paweł B.

Témata: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2410.05701

Multi‐objective terminal trajectory optimization based on hybrid genetic algorithm pseudospectral method

Autoři: Jiaduo Qiu Shaoqiu Xiao

Zdroj: Electronics Letters, Vol 60, Iss 14, Pp n/a-n/a (2024)

Témata: optimal control, trajectory optimisation (aerospace), 0203 mechanical engineering, pareto optimization, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, genetic algorithms, TK1-9971

Přístupová URL adresa: https://doaj.org/article/82a12a7b86c04f83bee20082b161a780

A new multi-objective genetic algorithm for solving the fuzzy stochastic multi-manned assembly line balancing problem.

Autoři: Zacharia, Paraskevi Th. Nearchou, Andreas C.

Zdroj: International Journal of Production Research. Dec2025, Vol. 63 Issue 24, p9879-9901. 23p.

Process Metallurgy and Genetic Algorithm Multi‐Objective Optimization of Blast Furnace Hearth Working State.

Autoři: Shi, Quan Tang, Jue Chu, Mansheng

Zdroj: Steel Research International. Jun2025, Vol. 96 Issue 6, p1-16. 16p.

Témata: *PARETO optimum, *ENERGY consumption, *PREDICTION models, *METALLURGY, *INDUSTRIAL applications

Multi-objective optimization of microchannel heat sink with Cantor fractal structure based on Pareto genetic algorithm

Autoři: Helin Wang Xueye Chen Jianqing Hu a další

Zdroj: Korean Journal of Chemical Engineering. 39:2069-2079

Témata: 0103 physical sciences, 01 natural sciences

Multi-objective Constrained Genetic Algorithm Based on Pareto and Hierarchical Sorting

Autoři: Kuan Hu Lin Zhang Xinlong Chang a další

Zdroj: 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP). :200-203

Comparison of Evolutionary Algorithms: A Case Study on the Multi-Objective Carbon-Aware Mine Planning*

Autoři: NURUL ASYIKEEN BINTE AZHAR GUNAWAN, Aldy CHENG, Shih-Fen a další

Zdroj: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). :962-969

Témata: Operations Research, Pareto optimization, Theory and Algorithms, production planning, environmental economics, Genetic algorithms, Systems Engineering and Industrial Engineering

Popis souboru: application/pdf

Multi-objective Optimization of Staggered Tube Banks in Cross-flow Using Machine Learning and Genetic Algorithm.

Autoři: Tamanaei, A. Kowsary, F. Sahamifar, S. a další

Zdroj: Journal of Applied Fluid Mechanics. Sep2025, Vol. 18 Issue 9, p2163-2179. 17p.

Témata: Multi-objective optimization, Genetic algorithms, Machine learning, Pressure drop (Fluid dynamics), Cross-flow (Aerodynamics), Heat transfer, Heat exchanger efficiency, Nusselt number

A High-Speed Multi-Objective Genetic Algorithm Based on Filtering Approximate Pareto Sets with Elitism-Linked Yield: Ely

Autoři: Edgar David Mora Martinez Naser Khaji

GenCNN: A Partition-Aware Multi-Objective Mapping Framework for CNN Accelerators Based on Genetic Algorithm

Autoři: Yudong Mu Zhihua Fan Wenming Li a další

Zdroj: ACM Transactions on Architecture and Code Optimization. 22:1-26

Multi-objective optimization of plantain/coconut fibres hybrid reinforced polymer composite using ANN, GRA and genetic algorithm

Autoři: Emmanuel G. Ikenga Chidozie C. Nwobi-Okoye Remy Uche

Zdroj: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-42 (2025)

Témata: Artificial neural network, Genetic algorithm, Grey relational analysis, Composite, Multi objective optimization, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2731-0809

Přístupová URL adresa: https://doaj.org/article/243c963165f74b42a204ca0e21ebd903

An Enhanced Multi-Objective Non-Dominated Sorting Genetic Routing Algorithm for Improving the QoS in Wireless Sensor Networks

Autoři: Mahmoud Moshref Rizik Al-Sayyed Saleh Al-Sharaeh

Zdroj: IEEE Access, Vol 9, Pp 149176-149195 (2021)

Témata: pareto front, Artificial intelligence, Computer Networks and Communications, Wireless Energy Harvesting, Wireless Energy Harvesting and Information Transfer, 02 engineering and technology, Real-time computing, Engineering, Quality of service, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Dynamic Source Routing, 0202 electrical engineering, electronic engineering, information engineering, multi-objective algorithms, scheduling, Electrical and Electronic Engineering, wireless sensor networks, Routing (electronic design automation), Computer network, Wireless Sensor Networks: Survey and Applications, Genetic Algorithms, Sorting, Particle swarm optimization, Routing Techniques, Computer science, Distributed computing, TK1-9971, Routing protocol, Multi-objective optimization, Algorithm, Computational Theory and Mathematics, Genetic algorithm, Computer Science, Physical Sciences, Crossover, Electrical engineering. Electronics. Nuclear engineering, Wireless Sensor Networks, Sensor Networks, Distance-vector routing protocol, Multiobjective Optimization in Evolutionary Algorithms, Wireless sensor network, clustering

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585092.pdf
https://doaj.org/article/d6788be180e145bfa1c187fe93de6519
https://ieeexplore.ieee.org/document/9585092
https://dblp.uni-trier.de/db/journals/access/access9.html#MoshrefAA21

Controlled Non-Dominated Sorting Genetic Algorithms for Multi-Objective Optimal Design of Standalone and Grid-Connected Renewable Energy Systems in Integrated Energy Sectors

Autoři: Hamza El Hafdaoui Ahmed Khallaayoun Salah Al-Majeed

Zdroj: IEEE Access, Vol 13, Pp 14658-14685 (2025)

Témata: Multi-objective optimization, renewable energy sizing, renewable energies, standalone renewable energy systems, grid-connected renewable energy systems, Electrical engineering. Electronics. Nuclear engineering, genetic algorithms, TK1-9971

Přístupová URL adresa: https://doaj.org/article/dd80854f33674ce682293c117569f5c0