Suchergebnisse - "Multi-objective arithmetic optimization algorithm"

An Archive-Based Multi-Objective Arithmetic Optimization Algorithm for Solving Industrial Engineering Problems

Autoren: Nima Khodadadi Laith Abualigah El-Sayed M. El-kenawy et al.

Quelle: IEEE Access, Vol 10, Pp 106673-106698 (2022)

Schlagwörter: engineering optimization, Pareto optimization, Economics, 02 engineering and technology, Engineering, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Economic growth, search problems, metaheuristics, Global Optimization, particle swarm optimization, Arithmetic optimization algorithm (AOA), Geography, arithmetic optimization algorithm (AOA), Multi-Objective Optimization, Particle swarm optimization, Optimization Applications, Mathematical optimization, archive-based multi-objective arithmetic optimization algorithm (MAOA), linear programming, arithmetic, Computer science, TK1-9971, Multi-objective optimization, Algorithm, Computational Theory and Mathematics, Genetic algorithm, Application of Genetic Programming in Machine Learning, heuristic algorithms, Computer Science, Physical Sciences, Convergence (economics), Information and computing sciences, Electrical engineering. Electronics. Nuclear engineering, Data structures and algorithms, Benchmark (surveying), multi-objective problems, optimization, Multiobjective Optimization in Evolutionary Algorithms, Pareto principle, Mathematics, Geodesy

Zugangs-URL: https://doaj.org/article/37834a820f9642deaae6aff8d0520e86
http://hdl.handle.net/10084/149175

Indirect Prediction for Lithium-Ion Batteries RUL Using Multi-Objective Arithmetic Optimization Algorithm-Based Deep Extreme Learning Machine

Autoren: Linna Li Zhong Huang Guorong Ding

Quelle: IEEE Access, Vol 11, Pp 110400-110416 (2023)

Schlagwörter: health indexes, RUL prediction, MOAOA-DELM, Electrical engineering. Electronics. Nuclear engineering, 7. Clean energy, Lithium-ion batteries SOH estimation, TK1-9971

Zugangs-URL: https://doaj.org/article/d5252d5ff0444dcd98c5d57abbd38de8

Optimization of agricultural biomass Supply: Dual reduction of cost and carbon emissions based on multi-objective arithmetic optimization algorithm

Autoren: Pengfei Li Jialiang Liang Ye Xue et al.

Quelle: Journal of Cleaner Production. 511:145670

Joint Optimization of Computation Offloading and Task Scheduling Using Multi-Objective Arithmetic Optimization Algorithm in Cloud-Fog Computing

Autoren: Asad Ali Nazia Azim Mohamed Tahar Ben Othman et al.

Quelle: IEEE Access, Vol 12, Pp 184158-184178 (2024)

Schlagwörter: Task offloading, computation offloading, optimization algorithms, cloud-fog computing, arithmetic optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10778557/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/98aad5371e6d45f38981ee847578af58

Multi-objective arithmetic optimization algorithm with random searching strategies to solve combined economic emission dispatch problem

Autoren: Wen-Kuo Hao Jie-Sheng Wang Xu-Dong Li et al.

Quelle: Computers & Industrial Engineering. 195:110434

Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

Autoren: Li, Ling-Ling Ren, Xin-Yu Tseng, Ming-Lang et al.

Quelle: Energy Conversion and Management. 258:115541

Schlagwörter: 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Dateibeschreibung: application/pdf

Zugangs-URL: https://eprints.gla.ac.uk/268217/1/268217.pdf

A New Arithmetic Optimization Algorithm for Solving Real-World Multiobjective CEC-2021 Constrained Optimization Problems: Diversity Analysis and Validations

Autoren: Manoharan Premkumar Pradeep Jangir Balan Santhosh Kumar et al.

Quelle: IEEE Access, Vol 9, Pp 84263-84295 (2021)

Schlagwörter: Engineering, Arithmetic optimization algorithm (AOA), CEC-2021 real-world problems, Information and computing sciences, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, multi-objective arithmetic optimization algorithm (MOAOA), constrained optimization, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09445061.pdf
https://doaj.org/article/0a9933e0e7e64576b00d80f497608658
https://avesis.uludag.edu.tr/publication/details/2667f11c-72c2-4b4e-a66d-4baec6e0657d/oai

AO-SAKEL: arithmetic optimization-based self-adaptive kernel extreme learning for international trade prediction.

Autoren: Gupta, Vaishali Kumar, Ela

Quelle: Evolving Systems; Jun2024, Vol. 15 Issue 3, p829-848, 20p

Advanced Severity Detection in Histopathological Ovarian Cancer: Rank-Based Leaf Wind Optimization and Alpha Piecewise Linear Fuzzy Techniques.

Autoren: Sanapala, Venkata Lakshmi Sathish, Chandaka Pavan Pyla, Uma et al.

Quelle: Cancer Biotherapy & Radiopharmaceuticals; Dec2025, Vol. 40 Issue 10, p800-808, 9p

C-MOBRO: constrained multi-objective Battle Royale Optimization algorithm.

Autoren: Alp, Sait Dehkharghani, Rahim Akan, Taymaz

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 14, p1-27, 27p

Schlagwörter: MULTI-objective optimization, CONSTRAINED optimization, MATHEMATICAL optimization, BENCHMARK problems (Computer science)

A hybrid-strategy multi-objective grey wolf optimizer based on diversity ranking.

Autoren: Guo, Wenyan Li, Shenglong Dai, Fang et al.

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-38, 38p

Schlagwörter: MULTI-objective optimization, GREY Wolf Optimizer algorithm, DIFFERENTIAL evolution, GLOBAL optimization, QUANTUM computers, MATHEMATICAL optimization, OPTIMIZATION algorithms

Research topic detection in scientific articles using a hybrid BERT integrated telescopic vector tree model with emperor penguin enhanced NSGA II optimization.

Autoren: Krishnan, Keerthi Easwarakumar, K. S.

Quelle: Scientific Reports; 10/24/2025, Vol. 15 Issue 1, p1-18, 18p

Schlagwörter: OPTIMIZATION algorithms, MACHINE learning, GENETIC algorithms, DATA structures, LANGUAGE models, PERIODICAL articles

Energizing the fog: a systematic survey on task scheduling strategies for energy optimization.

Autoren: Nagabushnam, Ganesan Choi, Yundo Kim, Kyong Hoon

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 6, p1-47, 47p

Schlagwörter: DATA privacy, HEURISTIC algorithms, ARTIFICIAL intelligence, EVIDENCE gaps, QUALITY of service

Kirchhoff’s law algorithm (KLA): a novel physics-inspired non-parametric metaheuristic algorithm for optimization problems.

Autoren: Ghasemi, Mojtaba Khodadadi, Nima Trojovský, Pavel et al.

Quelle: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-60, 60p

Techno-Economic Optimization of a Hybrid Renewable Energy System with Seawater-Based Pumped Hydro, Hydrogen, and Battery Storage for a Coastal Hotel.

Autoren: Tezer, Tuba

Quelle: Processes; Oct2025, Vol. 13 Issue 10, p3339, 31p

Schlagwörter: HYBRID power systems, PUMPED storage power plants, STORAGE batteries, HYDROGEN storage, PHOTOVOLTAIC power generation, COST analysis, SEASIDE resorts, ECONOMIC efficiency

Geografische Kategorien: TURKEY

Reliability-driven constrained Pareto optimization for knowledge-informed predictive maintenance decisions under uncertainty.

Autoren: Tee, Kong Fah Zarchi, Milad

Quelle: Journal of Quality in Maintenance Engineering; 2025, Vol. 31 Issue 4, p462-495, 34p

Schlagwörter: MULTI-objective optimization, CONDITION-based maintenance, SIGNAL processing, ROBUST optimization, ROTATING machinery, MACHINE learning, FEATURE extraction, RISK assessment

From chaos to clarity: unraveling credit card fraud with BGVOA-LS.

Autoren: Salem, Aya H. Azzam, Safaa M. Emam, O. E. et al.

Quelle: Journal of Big Data; 9/17/2025, Vol. 12 Issue 1, p1-44, 44p

Schlagwörter: CREDIT card fraud, MACHINE learning, STATISTICAL sampling, ENSEMBLE learning, DECISION trees, FEATURE selection, FRAUD investigation

Sentiment analysis of Nepali social media text with a hybrid deep learning model.

Autoren: Sitoula, Sameer Shahi, Tej Bahadur Wibowo, Santoso et al.

Quelle: Social Network Analysis & Mining; 8/8/2025, Vol. 15 Issue 1, p1-12, 12p

Divine Religions Algorithm: a novel social-inspired metaheuristic algorithm for engineering and continuous optimization problems.

Autoren: Mozhdehi, Ali Toufanzadeh Khodadadi, Nima Aboutalebi, Mohaddeseh et al.

Quelle: Cluster Computing; Aug2025, Vol. 28 Issue 4, p1-47, 47p

Schlagwörter: COMPUTATIONAL mathematics, NP-hard problems, MATHEMATICAL optimization, RESEARCH personnel, ALGORITHMS

A Body-Powered Underactuated Prosthetic Finger Driven by MCP Joint Motion.

Autoren: Chungsangsatiporn, Worathris Sithiwichankit, Chaiwuth Chancharoen, Ratchatin et al.

Quelle: Robotics; Aug2025, Vol. 14 Issue 8, p107, 16p

Schlagwörter: METACARPOPHALANGEAL joint, PROSTHETICS, MECHANISM (Philosophy), ARTIFICIAL hands