Výsledky vyhledávání - Multi-objective Archimedes optimization algorithm

Archimedes Optimization Algorithm to Solve Multi-objective Optimal Power Flow in Hybrid AC-DC Power System

Autoři: Chintan Dalsukh Patel Tanmoy Malakar Sreejith S

Zdroj: 2025 IEEE International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3). :1-6

An enhanced multi-objective reactive power dispatch for hybrid Wind-Solar power system using Archimedes optimization algorithm

Autoři: Prisma Megantoro Syahirah Abd Halim Nor Azwan Mohamed Kamari a další

Zdroj: International Journal of Electrical Power & Energy Systems, Vol 168, Iss , Pp 110676- (2025)

Témata: Archimedes optimization algorithm, Distribution generation, Metaheuristics optimization, Optimal reactive power dispatch, Voltage stability index, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525002273; https://doaj.org/toc/0142-0615

Přístupová URL adresa: https://doaj.org/article/64c9720a484842a7903f78a941cb3cae

Optimum power dispatch using Archimedes optimization algorithm in hybrid AC-DC power system with limited control adjustments.

Autoři: Patel, Chintan Malakar, Tanmoy Sreejith, S.

Zdroj: International Journal of Modelling & Simulation. Jul2025, p1-19. 19p. 6 Illustrations.

Témata: *MULTI-objective optimization, *OPTIMIZATION algorithms, *HYBRID power systems, *POWER resources management, *HIGH-voltage direct current transmission, *ECONOMIC efficiency

Multi‐Objective Workflow Scheduling in Cloud Using Archimedes Optimization Algorithm

Autoři: Shweta Kushwaha Ravi Shankar Singh Kanika Prajapati

Zdroj: Concurrency and Computation: Practice and Experience. 37

A Novel MIMO Radar Orthogonal Waveform Design Algorithm Based on the Multi-Objective Improved Archimedes Optimization Algorithm.

Autoři: Wang, Yanjiao Chen, Mingchi

Zdroj: Remote Sensing. Nov2023, Vol. 15 Issue 21, p5231. 25p.

Témata: *OPTIMIZATION algorithms, *MIMO radar, *ALGORITHMS, *RADAR

People: ARCHIMEDES, ca. 287 B.C.-212 B.C.

Multi-objective Archimedes Optimization Algorithm with Fusion-based Deep Learning model for brain tumor diagnosis and classification

Autoři: B. Devanathan M. Kamarasan

Zdroj: Multimedia Tools and Applications. 82:16985-17007

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Multi-Objective Constrained Optimization Model and Molten Iron Allocation Application Based on Hybrid Archimedes Optimization Algorithm

Autoři: Huijuan Hu Shichao Shi He Xu

Zdroj: Mathematics, Vol 12, Iss 16, p 2437 (2024)

Témata: iron and steel balance, QA1-939, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, optimization algorithm, quadratic programming, 02 engineering and technology, 7. Clean energy, molten iron allocation, Mathematics

Přístupová URL adresa: https://doaj.org/article/9bc93c7abcb34f7289916958ea628764

A novel distributed generation planning algorithm via graphically-based network reconfiguration and soft open points placement using Archimedes optimization algorithm

Autoři: Almoataz Y. Abdelaziz Ziad M. Ali Ibrahim Mohamed Diaaeldin a další

Zdroj: Ain Shams Engineering Journal, Vol 12, Iss 2, Pp 1923-1941 (2021)

Témata: Multi-objective optimization, Graph theory, Archimedes optimization algorithm, Real distribution networks, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Soft open points, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), 7. Clean energy, Graph-theoretic network reconfiguration

Přístupová URL adresa: https://doaj.org/article/d3c81e3fbf304221aebe0bc7880ebd5f
https://www.sciencedirect.com/science/article/pii/S2090447921000186
https://www.sciencedirect.com/science/article/abs/pii/S2090447921000186

EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification

Autoři: Abeer S. Desuky Sadiq Hussain Samina Kausar a další

Zdroj: IEEE Access, Vol 9, Pp 120795-120814 (2021)

Témata: Artificial intelligence, Economics, Feature (linguistics), Metaheuristic, 02 engineering and technology, Pattern recognition (psychology), Feature vector, feature selection, Selection (genetic algorithm), 0202 electrical engineering, electronic engineering, information engineering, Feature Selection, Optimization problem, Geography, Multi-Objective Optimization, Optimization Applications, Mathematical optimization, FOS: Philosophy, ethics and religion, Algorithm, machine learning, classification, Computational Theory and Mathematics, Application of Genetic Programming in Machine Learning, Physical Sciences, Feature selection, Convergence (economics), Electrical engineering. Electronics. Nuclear engineering, Geodesy, Archimedes optimization algorithm, Artificial Intelligence, Machine learning, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Data mining, Economic growth, Global Optimization, Bayesian Optimization, Pure mathematics, Statistical classification, Linguistics, Computer science, metaheuristic algorithms, TK1-9971, Philosophy, Dimension (graph theory), Computer Science, FOS: Languages and literature, optimization algorithms, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09524620.pdf
https://doaj.org/article/166b21c4819442598dcded7523408e8f
https://dblp.uni-trier.de/db/journals/access/access9.html#DesukyHKIB21
https://ieeexplore.ieee.org/document/9524620/
https://doi.org/10.1109/ACCESS.2021.3108533

Deadline and budget-constrained archimedes optimization algorithm for workflow scheduling in cloud.

Autoři: Kushwaha, Shweta Singh, Ravi Shankar

Zdroj: Cluster Computing. Apr2025, Vol. 28 Issue 2, p1-27. 27p.

Témata: *OPTIMIZATION algorithms, *BUDGET, *MATHEMATICAL optimization, *PRODUCTION scheduling, *METAHEURISTIC algorithms

Multi-objective Archimedes Optimization Algorithm for Optimal Allocation of Renewable Energy Sources in Distribution Networks

Autoři: H. El-Kishky Ahmad Eid

Zdroj: Lecture Notes in Networks and Systems ISBN: 9783030738815

Témata: 7. Clean energy

Přístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-030-73882-2_7

Modified archimedes optimization algorithm-based resources allocation in multicell D2D communications.

Autoři: Patil, Priyanka Hendre, Vaibhav S.

Zdroj: Cluster Computing. Oct2025, Vol. 28 Issue 5, p1-13. 13p.

Témata: *RESOURCE allocation, *QUALITY of service, *TELECOMMUNICATION systems, *ALGORITHMS

Power system economic emission dispatch considering uncertainties of wind, solar, and small runoff hydropower via a hybrid multi-objective optimization algorithm.

Autoři: Xiong, Guojiang Liu, Qinghua Wang, Yang a další

Zdroj: Expert Systems with Applications. Jun2025, Vol. 278, pN.PAG-N.PAG. 1p.

Témata: *OPTIMIZATION algorithms, *RENEWABLE energy sources, *MULTI-objective optimization, *CLEAN energy, *RELIABILITY in engineering, *HYBRID power systems

People: ARCHIMEDES, ca. 287 B.C.-212 B.C.

TM-MOAOA: a two-stage task scheduling approach using TOPSIS and multi-objective Archimedes optimization in fog-cloud environment.

Autoři: Khaledian, Navid Razzaghzadeh, Shiva Moazzami, Setareh a další

Zdroj: Computing. Jul2025, Vol. 107 Issue 7, p1-31. 31p.

Stepping into Industry 4.0-based optimization model: a hybrid of the NSGA-III and MOAOA.

Autoři: Sadati-Keneti, Yaser Sebt, Mohammad Vahid Tavakkoli-Moghaddam, Reza a další

Zdroj: Kybernetes. 2025, Vol. 54 Issue 11, p6442-6478. 37p.

Témata: *INDUSTRY 4.0, *MULTI-objective optimization, *METAHEURISTIC algorithms, *SCHEDULING, *SELF-organizing systems, *MATHEMATICAL optimization

Multi‐Objective Workflow Scheduling in Cloud Using Archimedes Optimization Algorithm.

Autoři: Kushwaha, Shweta Shankar Singh, Ravi Prajapati, Kanika

Zdroj: Concurrency & Computation: Practice & Experience; 2/28/2025, Vol. 37 Issue 4/5, p1-19, 19p

Témata: OPTIMIZATION algorithms, MATHEMATICAL optimization, STATISTICAL decision making, ENERGY consumption, CLOUD computing

Multi-Objective Constrained Optimization Model and Molten Iron Allocation Application Based on Hybrid Archimedes Optimization Algorithm.

Autoři: Hu, Huijuan Shi, Shichao Xu, He

Zdroj: Mathematics (2227-7390); Aug2024, Vol. 12 Issue 16, p2437, 16p

Témata: LIQUID iron, OPTIMIZATION algorithms, STEELMAKING furnaces, QUADRATIC programming, NONLINEAR programming, CONSTRAINED optimization

RETRACTED: Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization

Autoři: Ze-Kun Zheng Bei-Ning Hu Chen She a další

Zdroj: Energy Reports, Vol 7, Iss, Pp 5612-5626 (2021)

Témata: Archimedes optimization algorithm, 11. Sustainability, Multiple-objective optimization, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Energy-efficiency measures, Life cycle energy, Zero-energy building, Solar photovoltaic system, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://doaj.org/article/1bf2748d8bb04be7bef46a4cf1c689c5
https://www.sciencedirect.com/science/article/pii/S2352484721008015

Demand side management strategy for smart building using multi-objective hybrid optimization technique

Autoři: Magda I. El-Afifi Bishoy E. Sedhom Abdelfattah A. Eladl a další

Zdroj: Results in Engineering, Vol 22, Iss , Pp 102265- (2024)

Témata: Smart homes, Archimedes optimization algorithm, Genetic algorithm, Day-ahead and real-time scheduling, Demand side management, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024005206; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/56f127b0f8bf45cdbca056f40d9c6f9a

Enhanced Archimedes optimization algorithm for quality of service-aware routing in internet of things-enabled wireless sensor networks.

Autoři: Liu, Ningning Ji, Yongbing Wang, Kecheng a další

Zdroj: Journal of Engineering & Applied Science; 10/2/2025, Vol. 72 Issue 1, p1-23, 23p

Témata: WIRELESS sensor networks, INTERNET of things, ROUTING algorithms, ENERGY consumption, OPTIMIZATION algorithms, BIT rate, NETWORK performance