Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies

Dollen, David Von; Brasher, Reuben; Neukart, Florian; Bäck, Thomas

doi:10.1109/cist56084.2023.10409984

2023 7th IEEE Congress on Information Science and Technology (CiSt) 2023

DOI: 10.1109/cist56084.2023.10409984

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Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies

David Von Dollen,

Reuben Brasher,

Florian Neukart

et al.

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2024

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Meta-Heuristic and Machine Learning Modelling and Optimizing Complex Systems

Kandasamy,

Mishra,

Tiwari

et al. 2024

Metaheuristic and Machine Learning Optimization Strategies for Complex Systems

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The present chapter of this book delves into the exploration of metaheuristic algorithms as an avenue for solving optimization problems pertaining to engineering and intricate systems. Metaheuristics which encompass a diverse array of intelligent search and optimization techniques inspired by natural phenomena, have demonstrated their efficacy in addressing intricate, nonlinear, and multi-objective optimization challenges. Furthermore, a thorough and comprehensive overview of metaheuristic algorithms, including genetic algorithms, simulated annealing, particle swarm optimization, and ant colony optimization, among others, is provided. Additionally, the chapter delves into the synergistic potential of combining metaheuristics with other optimization techniques, as well as machine learning and data-driven approaches. Ultimately, this chapter culminates in serving as a valuable resource for researchers, practitioners, and students who possess an interest in employing metaheuristics for the optimization of engineering and complex systems.

show abstract

Meta-Heuristic and Machine Learning Modelling and Optimizing Complex Systems

Kandasamy,

Mishra,

Tiwari

et al. 2024

Metaheuristic and Machine Learning Optimization Strategies for Complex Systems

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies

Cited by 1 publication

References 4 publications

Meta-Heuristic and Machine Learning Modelling and Optimizing Complex Systems

Meta-Heuristic and Machine Learning Modelling and Optimizing Complex Systems

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