Guided fireworks algorithm applied to multilevel image thresholding

2018 ◽  
pp. 27-58
Author(s):  
Eva Tuba ◽  
Milan Tuba
Keyword(s):  
Fireworks Algorithm ◽  
Image Thresholding

Multilevel image thresholding by fireworks algorithm

2015 ◽  
Author(s):  
Milan Tuba ◽  
Nebojsa Bacanin ◽  
Adis Alihodzic
Keyword(s):  
Fireworks Algorithm ◽  
Image Thresholding

Image thresholding method based on Fourier spectrum and moment-preserving principle

2010 ◽  
Vol 30 (8) ◽  
pp. 2094-2097 ◽  
Author(s):  
Xin-ming ZHANG ◽  
Shuang LI ◽  
Yan-bin ZHENG ◽  
Hui-yun ZHANG
Keyword(s):  
Fourier Spectrum ◽  
Image Thresholding ◽  
Thresholding Method

scholarly journals Fuzzy Multilevel Image Thresholding Based on Improved Coyote Optimization Algorithm

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Linguo Li ◽  
Lijuan Sun ◽  
Yu Xue ◽  
Shujing Li ◽  
Xuwen Huang ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Image Thresholding

scholarly journals Planning capacity for 5G and beyond wireless networks by discrete fireworks algorithm with ensemble of local search methods

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Hafiz Munsub Ali ◽  
Jiangchuan Liu ◽  
Waleed Ejaz
Keyword(s):  
Wireless Networks ◽  
Local Search ◽  
Wireless Network ◽  
Statistical Tests ◽  
Mathematical Framework ◽  
Integer Programming Problem ◽  
Search Methods ◽  
Fireworks Algorithm ◽  
Local Search Methods ◽  
Planning Capacity

Abstract In densely populated urban centers, planning optimized capacity for the fifth-generation (5G) and beyond wireless networks is a challenging task. In this paper, we propose a mathematical framework for the planning capacity of a 5G and beyond wireless networks. We considered a single-hop wireless network consists of base stations (BSs), relay stations (RSs), and user equipment (UEs). Wireless network planning (WNP) should decide the placement of BSs and RSs to the candidate sites and decide the possible connections among them and their further connections to UEs. The objective of the planning is to minimize the hardware and operational cost while planning capacity of a 5G and beyond wireless networks. The formulated WNP is an integer programming problem. Finding an optimal solution by using exhaustive search is not practical due to the demand for high computing resources. As a practical approach, a new population-based meta-heuristic algorithm is proposed to find a high-quality solution. The proposed discrete fireworks algorithm (DFWA) uses an ensemble of local search methods: insert, swap, and interchange. The performance of the proposed DFWA is compared against the low-complexity biogeography-based optimization (LC-BBO), the discrete artificial bee colony (DABC), and the genetic algorithm (GA). Simulation results and statistical tests demonstrate that the proposed algorithm can comparatively find good-quality solutions with moderate computing resources.

Fireworks Algorithm for Frequency Assignment Problem

2020 ◽  
Author(s):  
El Bouti Mohamed ◽  
El Ghazi Raouan ◽  
Benameur Lamia ◽  
Alami Chentoufi Jihane
Keyword(s):  
Assignment Problem ◽  
Frequency Assignment ◽  
Frequency Assignment Problem ◽  
Fireworks Algorithm

Enhanced long short-term memory with fireworks algorithm and mutation operator

2021 ◽  
Author(s):  
Changqing Gong ◽  
Xinyao Wang ◽  
Abdullah Gani ◽  
Han Qi
Keyword(s):  
Short Term Memory ◽  
Mutation Operator ◽  
Short Term ◽  
Term Memory ◽  
Fireworks Algorithm ◽  
Long Short Term Memory

Hyperspectral Multi-level Image Thresholding using Qutrit Genetic Algorithm

2021 ◽  
pp. 115107
Author(s):  
Tulika Dutta ◽  
Sandip Dey ◽  
Siddhartha Bhattacharyya ◽  
Somnath Mukhopadhyay ◽  
Prasun Chakrabarti
Keyword(s):  
Genetic Algorithm ◽  
Image Thresholding ◽  
Multi Level
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