Three-body deterministic optimizer (TBD): a novel non-random, nature-inspired metaheuristic for engineering design and hyperparameter optimization Article Swipe

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Ali Rodan , Yousef Sanjalawe , Peter Tiňo , Ali Rodan , Yousef Sanjalawe , Peter Tiňo ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1007/s12065-025-01107-w

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Computer Science

Machine Learning

Design Of Experiments

Lock And Key

Artificial Intelligence

Algorithm

Optimal Design

Feature Engineering

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Computer science Metaheuristic Hyperparameter Mathematical optimization Engineering optimization Search-based software engineering Engineering design process Machine learning Multidisciplinary design optimization Design of experiments Key (lock) Artificial intelligence Multi-objective optimization Metamodeling Algorithm Optimization algorithm Optimization problem Bayesian optimization Optimal design Feature engineering Constrained optimization

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s12065-025-01107-w
OA Status: hybrid
References: 56
OpenAlex ID: https://openalex.org/W7106652167

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DOI: https://doi.org/10.1007/s12065-025-01107-w

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Title: Three-body deterministic optimizer (TBD): a novel non-random, nature-inspired metaheuristic for engineering design and hyperparameter optimization

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-11-26

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Authors: Ali Rodan, Yousef Sanjalawe, Peter Tiňo, Ali Rodan, Yousef Sanjalawe, Peter Tiňo

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Landing page: https://doi.org/10.1007/s12065-025-01107-w

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Concepts: Computer science, Metaheuristic, Hyperparameter, Mathematical optimization, Engineering optimization, Search-based software engineering, Engineering design process, Machine learning, Multidisciplinary design optimization, Design of experiments, Key (lock), Artificial intelligence, Multi-objective optimization, Metamodeling, Algorithm, Optimization algorithm, Optimization problem, Bayesian optimization, Optimal design, Feature engineering, Constrained optimization

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