Suchergebnisse - Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms~

Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms

Autoren: Andre A. Keller

Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System

Autoren: Máximo Méndez Daniel Alejandro Rossit Begoña González et al.

Weitere Verfasser: Máximo Méndez Daniel Alejandro Rossit Begoña González et al.

Quelle: IEEE Access [ISSN 2169-3536], v. 8, p. 3482-3497
accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
instname
IEEE Access, Vol 8, Pp 3482-3497 (2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas

Schlagwörter: Iterative Learning Control in Engineering Practice, Artificial intelligence, Gear train optimization, FOS: Mechanical engineering, Surrogate Modeling, Metaheuristic, 02 engineering and technology, DIFFERENTIAL EVOLUTION, Engineering, MECHANICAL ENGINEERING, gear train optimization, 0202 electrical engineering, electronic engineering, information engineering, GENETIC ALGORITHMS, Multi-Objective Optimization, Sorting, Non-dominated sorting genetic algorithm-II, Mathematical optimization, Gear Dynamics, Mechanical engineering, Algorithm, Computational Theory and Mathematics, Genetic algorithm, evolutionary computation, 120304 Inteligencia artificial, Physical Sciences, mechanical engineering, Electrical engineering. Electronics. Nuclear engineering, NON-DOMINATED SORTING GENETIC ALGORITHM-II, multi-objective evolutionary algorithms, Evolutionary computation, genetic algorithms, Evolutionary algorithm, Machine learning, FOS: Mathematics, MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS, Mechanical Engineering, Genetic algorithms, Computer science, TK1-9971, Dynamics and Faults in Gear Systems, Multi-objective optimization, Control and Systems Engineering, Particle Swarm Optimization, GEAR TRAIN OPTIMIZATION, Computer Science, Differential evolution, EVOLUTIONARY COMPUTATION, Multi-objective evolutionary algorithms, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Dateibeschreibung: application/pdf

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945204.pdf
http://hdl.handle.net/10553/69494
https://doaj.org/article/8d7d2484378b499ba1787ebec247046c
https://dblp.uni-trier.de/db/journals/access/access8.html#BabeyRGF20
https://notablesdelaciencia.conicet.gov.ar/handle/11336/100379?show=full
https://ieeexplore.ieee.org/document/8945204/
https://ri.conicet.gov.ar/handle/11336/100379
http://hdl.handle.net/11336/100379

Designing a resilient-sustainable supply chain network for perishable goods considering inter-chain competition.

Autoren: Mollashahi, Hossein Fakhrzad, Mohammad Bagher Hosseini Nasab, Hasan et al.

Quelle: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 47 Issue 5/6, p439-455, 17p

Schlagwörter: PARTICLE swarm optimization, PERISHABLE goods, SUSTAINABLE design, DESIGN competitions, SUPPLY chain disruptions

Optimal Design of Socially and Environmentally Efficient Reinforced Concrete Precast Modular Road Frames under Constrained Budgets

Autoren: Ruiz Vélez, Andrés

Thesis Advisors: Alcalá González, Julián, Yepes Piqueras, Víctor, Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil

Schlagwörter: Reinforced concrete, Precast structure, Hinged frame, Modular road frame, Metaheuristics, Single-objective optimization, Multi-objective optimization, Sustainability, Life cycle analysis, Multi-criteria decision-making, Life cycle sustainability, Algorithms, Mathematical methods, Computational model, Mathematical modelling, Infrastructures, Machine learning, Neural networks, Entropy theory, Life cycle design, Artificial intelligence, Hybrid metaheuristics, INGENIERIA DE LA CONSTRUCCION, 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación, 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles, 12.- Garantizar las pautas de consumo y de producción sostenibles

Verfügbarkeit: http://hdl.handle.net/10251/213837

Flood susceptibility mapping using optimized deep learning models: a non-structural framework.

Autoren: Razavi-Termeh, Seyed Vahid Sadeghi-Niaraki, Abolghasem Jelokhani-Niaraki, Mohammadreza et al.

Quelle: Applied Water Science; Aug2025, Vol. 15 Issue 8, p1-25, 25p

Schlagwörter: DEEP learning, METAHEURISTIC algorithms, FLOOD risk, REMOTE sensing, RISK management in business

Geografische Kategorien: IRAN

Multi-Objective Optimization in Construction Project Management Based on NSGA-III: Pareto Front Development and Decision-Making.

Autoren: Zhan, Zhengjie Hu, Yan Xia, Pan et al.

Quelle: Buildings (2075-5309); Jul2024, Vol. 14 Issue 7, p2112, 27p

Schlagwörter: CONSTRUCTION project management, CONSTRUCTION management, ENGINEERING standards, CARBON emissions, PROBLEM solving

A Review on Risk-Averse Bidding Strategies for Virtual Power Plants with Uncertainties: Resources, Technologies, and Future Pathways.

Autoren: Xiao, Dongliang

Quelle: Technologies (2227-7080); Nov2025, Vol. 13 Issue 11, p488, 27p

Schlagwörter: DISTRIBUTED resources (Electric utilities), BIDDING strategies, CLEAN energy, SMART power grids, FLUCTUATIONS (Physics), MATHEMATICAL optimization, RENEWABLE energy sources

Ant-Inspired Metaheuristic Algorithms for Combinatorial Optimization Problems in Water Resources Management.

Autoren: Bhavya, Ravinder Elango, Lakshmanan

Quelle: Water (20734441); May2023, Vol. 15 Issue 9, p1712, 19p

Schlagwörter: GROUNDWATER monitoring, WATER management, ANT algorithms, WATER distribution, METAHEURISTIC algorithms, MATHEMATICAL analysis, COASTAL zone management, CONFERENCE papers

Optimization of Cascade Reservoir Operation for Power Generation, Based on an Improved Lightning Search Algorithm.

Autoren: Tao, Yitao Mo, Li Yang, Yuqi et al.

Quelle: Water (20734441); Oct2023, Vol. 15 Issue 19, p3417, 23p

Schlagwörter: SEARCH algorithms, METAHEURISTIC algorithms, WATER use, RESERVOIRS, WATER supply, GORGES

Self-Adaptive Solution-Space Reduction Algorithm for Multi-Objective Evolutionary Design Optimization of Water Distribution Networks.

Autoren: Tanyimboh, Tiku T. Czajkowska, Anna

Quelle: Water Resources Management; Aug2018, Vol. 32 Issue 10, p3337-3352, 16p

Schlagwörter: WATER distribution, METAHEURISTIC algorithms, MATHEMATICAL optimization, EVOLUTIONARY algorithms, WATER-supply engineering

Tools and Algorithms for the Construction and Analysis of Systems : 27th International Conference, TACAS 2021, Held As Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 – April 1, 2021, Proceedings, Part II

Autoren: Jan Friso Groote Kim Guldstrand Larsen

Resource Type: eBook.

Schlagworte: System analysis--Congresses, Computer software--Verification--Congresses, System design--Congresses

Categories: COMPUTERS / Computer Science, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Hardware / General

Marine Predators Algorithm for Sizing Optimization of Truss Structures with Continuous Variables.

Autoren: Bodalal, Rafiq Shuaeib, Farag

Quelle: Computation; May2023, Vol. 11 Issue 5, p91, 39p

Schlagwörter: DOMES (Architecture), METAHEURISTIC algorithms, STRUCTURAL optimization, ALGORITHMS

Accelerated Driving-Training-Based Optimization for Solving Constrained Bi-Objective Stochastic Optimization Problems.

Autoren: Horng, Shih-Cheng Lin, Shieh-Shing

Quelle: Mathematics (2227-7390); Jun2024, Vol. 12 Issue 12, p1863, 17p

Schlagwörter: TIME complexity, COMBINATORIAL optimization, TENSOR products, BUDGET, RESOURCE allocation, SPLINES

Multi-Objective Optimization in Theory and Practice: I. Classical Methods

Autoren: Keller, André A.

Resource Type: eBook.

Schlagworte: Mathematical optimization

Categories: MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / General

Sine Cosine Algorithm for Optimization

Autoren: Jagdish Chand Bansal Prathu Bajpai Anjali Rawat et al.

Resource Type: eBook.

Schlagworte: Mathematical optimization, Metaheuristics, Computer programming

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Algorithms, TECHNOLOGY & ENGINEERING / Engineering (General), MATHEMATICS / Optimization

Metaheuristic Optimization Algorithms

Autoren: Keller, Andre A.

Quelle: Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms ; page 54-83

Verfügbarkeit: https://doi.org/10.2174/9781681087054119010004

Efficient implicit constraint handling approaches for constrained optimization problems.

Autoren: Rahimi I Gandomi AH Nikoo MR et al.

Quelle: Scientific reports [Sci Rep] 2024 Feb 27; Vol. 14 (1), pp. 4816. Date of Electronic Publication: 2024 Feb 27.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Improving groundwater potential mapping using metaheuristic approaches.

Autoren: Razavi-Termeh, Seyed Vahid Khosravi, Khabat Sadeghi-Niaraki, Abolghasem et al.

Quelle: Hydrological Sciences Journal/Journal des Sciences Hydrologiques; Dec2020, Vol. 65 Issue 16, p2729-2749, 21p

Schlagwörter: ANT algorithms, GEOGRAPHIC information systems, GROUNDWATER, STANDARD deviations, PARTICLE swarm optimization, METAHEURISTIC algorithms, WATER salinization

Geografische Kategorien: IRAN

A Review of the Current Task Offloading Algorithms, Strategies and Approach in Edge Computing Systems.

Autoren: Acheampong, Abednego Yiwen Zhang Xiaolong Xu et al.

Quelle: Computer Modeling in Engineering & Sciences (CMES); 2023, Vol. 134 Issue 1, p35-88, 54p

Schlagwörter: EDGE computing, COMPUTER systems, ALGORITHMS, SUPERVISED learning, REINFORCEMENT learning

Edge-computing-enabled hybrid and multi-objective geographic routing for mesh IoT networks: An IMOGWO-based approach.

Autoren: Tlili, Sihem Mnasri, Sami Val, Thierry

Quelle: Simulation Modelling Practice & Theory. Apr2025, Vol. 140, pN.PAG-N.PAG. 1p.

Schlagwörter: *GREY Wolf Optimizer algorithm, *MULTI-objective optimization, *MESH networks, *NETWORK performance, *EDGE computing, *METAHEURISTIC algorithms, *ROUTING algorithms