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Sep 2, 2022 · DLSaHS contains the heuristics obtained from harmony search (HS), genetic algorithm (GA), particle swarm optimization (PSO), and copycat harmony ...
Nov 21, 2024 · The general idea of this algorithm is to divide particles into four subswarms for searching problem space. Otsu's and Kapur's thresholding ...
DLSaHS contains the heuristics obtained from harmony search (HS), genetic algorithm (GA), particle swarm optimization (PSO), and copycat harmony search (CcHS).
DLSaHS contains the heuristics obtained from harmony search (HS), genetic algorithm (GA), particle swarm optimization (PSO), and copycat harmony search (CcHS).
This paper addresses the application of Self-adaptive Global Best Harmony Search (SGHS) algorithm for the supervised training of feed-forward neural ...
Missing: Development Deep
In this paper, an improved variant of harmony search (HS), called self-adaptive harmony search. (SAHS) along with gradient descent learning is used with ...
Jun 22, 2022 · The present study introduces a novel hybrid method based on the Harmony Search algorithm [25] as a metaheuristic algorithm and GMDH-type neural ...
In this paper, an improved variant of harmony search (HS), called self-adaptive harmony search (SAHS) along with gradient descent learning is used with ...
May 12, 2023 · In the search process, NIGHS uses the adaptive mean of harmony memory library to build a stable trust region around the global best harmony, and ...
Missing: Deep | Show results with:Deep
Oct 22, 2024 · PDF | Recently, a new meta-heuristic optimization algorithm – harmony search (HS) with continuous design variables was developed.
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