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Application of evolutionary and swarm optimization in computer vision: a literature survey

Takumi Nakane, Naranchimeg Bold, Haitian Sun, Xuequan Lu, Takuya Akashi, Chao Zhang
2020 IPSJ Transactions on Computer Vision and Applications  
Specifically, applications related to the genetic algorithm and differential evolution from EAs, as well as particle swarm optimization and ant colony optimization from SAs and their variants, are mainly  ...  for the lack of relevant research in this area.  ...  optimization (PSO) and ant colony optimization (ACO) from the SAs.  ... 
doi:10.1186/s41074-020-00065-9 fatcat:ppa34nc6zzaiboc7mxdhct6i2u

A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends [article]

Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
2022 arXiv   pre-print
This survey aims to provide a better understanding of evolutionary computer vision (ECV) by discussing the contributions of different approaches and exploring how and why EC is used for CV and image analysis  ...  Evolutionary computation (EC) approaches have been widely used for image analysis with significant achievement. However, there is no comprehensive survey of existing EC approaches to image analysis.  ...  [31] further improve the ACO-based method by proposing a horizontal and vertical crossover search mechanism to reduce randomness.  ... 
arXiv:2209.06399v1 fatcat:3a3v54ndbfgpnff7i7yh5l6wy4

Early and Precise Detection of Pancreatic Tumor by Hybrid Approach with Edge Detection and Artificial Intelligence Techniques

Bhawna Dhruv, Neetu Mittal, Megha Modi
2021 EAI Endorsed Transactions on Pervasive Health and Technology  
METHODS: The proposed work encompasses the processing of CT scans of pancreatic tumor using classical and artificial intelligence based optimized edge detection techniques for optimization and detection  ...  RESULTS: The simulation results are highly encouraging as evident from the far improved visibility of resultant images with Particle Swarm Optimization.  ...  Ant Colony Optimization Ant colony optimization is a metaheuristic population centred approach to different optimization problems [46] .  ... 
doi:10.4108/eai.31-5-2021.170009 fatcat:nezldtz2rvhe7prf6j6ycu3x6i

Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends [article]

Zhiqing Wei, Zeyang Meng, Meichen Lai, Huici Wu, Jiarong Han, Zhiyong Feng
2022 arXiv   pre-print
With the massive number of UAV flight activities, the anti-collision technologies aiming to avoid the collisions between UAVs and other objects have attracted much attention.  ...  ., obstacle sensing, collision prediction, and collision avoidance. We provide detailed survey and comparison of the methods of each aspect and analyze their pros and cons.  ...  describe the path, in which the adaptive adjustment, crossover, and mutation strategies were adopted, and the adaptive differential multi-objective optimization algorithm was applied to obtain the optimal  ... 
arXiv:2109.12832v3 fatcat:z6apje7csbahnhv3uetcn4pv7y

Welcome message from the General Chairs

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
All accepted papers will be included in the Proceeding of Adaptation, Learning and Optimization Series published by Springer-Verlag.  ...  Many papers demonstrated notable systems with good analytical and/or empirical analyses. Each paper was reviewed by at least two reviewers (most papers received three reviews each).  ...  Nature inspired algorithms, such as particle swarm optimization, ant colony optimization, harmony search and artificial bee colony, have proven to be effective solution methods for various optimization  ... 
doi:10.1109/iwssc.2009.5286448 fatcat:wcu4uzasizhzjmdkzyekynnqwi

Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images [chapter]

Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2011 Lecture Notes in Computer Science  
This thesis also proposes a local thresholding technique for the PSObased edge detection algorithm to overcome the problem of detection of edges in noisy images with illuminated areas.  ...  Unlike traditional algorithms, the new method can detect edges with greater continuity in noisy images.  ...  algorithms, such as ant colony optimisation, stochastic diffusion search and gravitational search algorithms.  ... 
doi:10.1007/978-3-642-25832-9_62 fatcat:jjbx77xaqnh53pptyz7dook7yy

Towards Precision Fertilization: Multi-Strategy Grey Wolf Optimizer Based Model Evaluation and Yield Estimation

Chengcheng Chen, Xianchang Wang, Huiling Chen, Chengwen Wu, Majdi Mafarja, Hamza Turabieh
2021 Electronics  
In order to find more accurate scientific ratios, it has been proposed a multi-strategy-based grey wolf optimization algorithm (SLEGWO) to solve the fertilizer effect function in this paper, using the  ...  It provides a new means to solve the problem of precision fertilizer and soil testing and fertilization.  ...  Acknowledgments: We acknowledge the comments of the editor and anonymous reviewers that enhanced this research significantly.  ... 
doi:10.3390/electronics10182183 fatcat:ya46fckjh5gk7kfdc7j34omdom

A Path Planning Method Based on Multiobjective Cauchy Mutation Cat Swarm Optimization Algorithm for Navigation System of Intelligent Patrol Car

Dongming Zhao, Huimin Yu, Xiang Fang, Lei Tian, Pengqian Han
2020 IEEE Access  
M0Mg, divided into i+1 equal parts with the vertical line, and the target point Mg is also expressed as Mi+1, the crossover point of the vertical line and the original coordinate represents the optimal  ...  and thermal imaging, and transmits them to the cloud computing center for processing based on computer vision models through wireless network.  ... 
doi:10.1109/access.2020.3016565 fatcat:oyoeq54wzzcunnbu3yktqjxtj4

Fundamentals of natural computing: an overview

L DECASTRO
2007 Physics of Life Reviews  
The presentation is concluded with a discussion about natural computing, and when it should be used.  ...  , current research trends and open problems.  ...  . 30 Acknowledgements The author would like to thank CNPq and FAPESP for the financial support, and the reviewers for their comments and suggestions on previous versions of this manuscript.  ... 
doi:10.1016/j.plrev.2006.10.002 fatcat:n5dt75wdafbnzkfxnndv7oc56m

Advancing statistical learning and artificial intelligence in nanophotonics inverse design

Qizhou Wang, Maksim Makarenko, Arturo Burguete Lopez, Fedor Getman, Andrea Fratalocchi
2021 Nanophotonics  
The journey of inverse design begins with traditional optimization tools such as topology optimization and heuristics methods, including simulated annealing, swarm optimization, and genetic algorithms.  ...  Nanophotonics inverse design is a rapidly expanding research field whose goal is to focus users on defining complex, high-level optical functionalities while leveraging machines to search for the required  ...  These optimizations take inspiration from the social behaviors of crowded biological systems, including ant colonies, fish, and birds flocks.  ... 
doi:10.1515/nanoph-2021-0660 fatcat:qx3itkj37zfzpdf24nt7scz7ce

Population-Based Methods: PARTICLE SWARM OPTIMIZATION – Development of a General-Purpose Optimizer and Applications [article]

Mauro S. Innocente
2021 arXiv   pre-print
This thesis is concerned with continuous, static, and single-objective optimization problems subject to inequality constraints.  ...  Since no termination condition is included in the canonical version, this thesis is also concerned with the design of some stopping criteria which allow the iterative search to be terminated if further  ...  For instance, they can be referred to as "ant algorithms", "ant colony algorithms", "ACO algorithms", "ant system", "ant colony system", "ACO meta-heuristic", etc.  ... 
arXiv:2101.10901v1 fatcat:nbzmzhe6czg2njia3ek2x57r2u

A Fully Automatic Calibration for Vision-Based Selective Compliance Assembly Robot Arm and Its Application to Intelligent Wafer Inspection Scheduling

Yu-Ting Su, Tzuu-Hseng S. Li, Meng-Xue Chen, Song-Jin Lin, Cheng-Yeh Yang, Chang-Wen Wang, Hsu-Ming Tsao, Cheng-Han Zhan
2022 IEEE Access  
The predefined wafer inspection scheduling is sent to the system for optimization calculation, and the experimental results are presented by SCARA.  ...  In the second phase, the wafer ready for inspection is optimized for procedure sorting to perform all detection items in the shortest time when SCARA is in the process of inspection.  ...  as Ant Colony Optimization, Particle Swarm Optimization, Cuckoo Search.  ... 
doi:10.1109/access.2022.3172953 fatcat:xtqu7zqp4jdk5lh7uolnw3b4da

A/B Testing [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
Motivation and Background Ant colony optimization is so called because of its original inspiration: the foraging behavior of some ant species.  ...  References Definition Ant colony optimization (ACO) is a populationbased metaheuristic for the solution of difficult A combinatorial optimization problems.  ...  It has been shown that with a probability at least 1 ı, both E 3 and R-MAX learn approximately correct models whose optimal policies have an average rewardclose to the true optimal in time polynomial in  ... 
doi:10.1007/978-1-4899-7687-1_100507 fatcat:bg6sszljsrax5heho4glbcbicu

Average-Payoff Reinforcement Learning [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
Motivation and Background Ant colony optimization is so called because of its original inspiration: the foraging behavior of some ant species.  ...  References Definition Ant colony optimization (ACO) is a populationbased metaheuristic for the solution of difficult A combinatorial optimization problems.  ...  It has been shown that with a probability at least 1 ı, both E 3 and R-MAX learn approximately correct models whose optimal policies have an average rewardclose to the true optimal in time polynomial in  ... 
doi:10.1007/978-1-4899-7687-1_100029 fatcat:jub4ulyg45abnf4qgutimczie4

CSITSS Proceedings 2020

2019 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS)  
Bio-inspired algorithm such as Ant colony, Genetic Algorithm [GA], Particle Swarm Optimization [PSO], , Cuckoo Search optimization, Bat optimization, Artificial Bee colony (ABC) and many more evolutionary  ...  [4] Keywords-WSN, Cuckoo Search, Ant Colony Optimization, Genetic Algorithm, network performance measures I.  ...  The results demonstrate the successful integration of Octave plugin with HPCC Systems.  ... 
doi:10.1109/csitss47250.2019.9031039 fatcat:yehi3bfgbva7xm74vp3a3i54pu
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