PPTA uses the parameter-tuned algorithm to tune algorithm's parameters on one instance of each problem category, but not to all functions in the benchmark. As a ...
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PPTA uses the parameter-tuned algorithm to tune algorithm's parameters on one instance of each problem category, but not to all functions in the benchmark. As a ...
Parameter Tuning. Conference Paper. Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms. December 2019. DOI:10.1109/SSCI44817.2019.9003101.
Evolutionary algorithms' performance can be enhanced significantly by using suitable parameter configurations when solving optimization problems.
Mar 5, 2024 · Genetic Algorithms offer a robust and automated approach to hyperparameter tuning, saving time and resources while enhancing model performance.
A portfolio of evolutionary algorithms is first formed. Covariance Matrix Adaptation Evolution Strategy (CMA-ES), History driven Evolutionary Algorithm (HdEA), ...
The most widely used and best performing tracking algorithms require significant geometry-specific tuning of the algorithm parameters to achieve best results.
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Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms ...
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Oct 15, 2022 · This work presents a new approach to maximize financial market investment returns. It incorporates two Evolutionary Algorithms (EAs) combined with fundamental ...
In this paper, we propose an alternative anytime algorithm portfolio technique in which computational resources are allocated among multiple sets of control ...