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A Many-Objective Evolutionary Algorithm with Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning [article]

Mingde Zhao, Hongwei Ge, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C.L. Philip Chen
2018 arXiv   pre-print
This paper proposes a many-objective optimization Algorithm with two Interacting processes: cascade Clustering and reference point incremental Learning (CLIA).  ...  In the population selection process based on cascade clustering, using the reference vectors provided by the incremental learning process, the non-dominated and the dominated individuals are clustered  ...  In this paper, we propose a dominance and divide-andconquer based MOEA with two interactive processes: cascade clustering and reference point incremental learning (CLIA).  ... 
arXiv:1803.01097v3 fatcat:r7oj5wn77zbsbd7s2heooqjg2e

Brain-Like Emergent Spatial Processing

Juyang Weng, Matthew Luciw
2012 IEEE Transactions on Autonomous Mental Development  
This is a theoretical, modeling, and algorithmic paper about the spatial aspect of brain-like information processing, modeled by the Developmental Network (DN) model.  ...  A new principle is that the effector ends in M serve as hubs for concept learning and abstraction. The effector ends B serve also as input and the sensory ends S serve also as output.  ...  All the WWN weights learn through an incremental, interactive "seeing" and often supervised "acting" process.  ... 
doi:10.1109/tamd.2011.2174636 fatcat:lnjzrbzhmncazgfl2l4udlqpne

A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation [article]

Mingde Zhao and Hongwei Ge and Kai Zhang and Yaqing Hou
2019 arXiv   pre-print
This paper proposes a reference vector based algorithm which uses two interacting engines to adapt the reference vectors and to evolve the population towards the true Pareto Front (PF) s.t. the reference  ...  The infeasible parts of the objective space in difficult many-objective optimization problems cause trouble for evolutionary algorithms.  ...  References  ... 
arXiv:1904.06302v1 fatcat:t4bpxhkytvcxvovkygjscoek4y

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution [article]

Mehrdad Farajtabar and Yichen Wang and Manuel Gomez Rodriguez and Shuang Li and Hongyuan Zha and Le Song
2016 arXiv   pre-print
However, these two highly intertwined stochastic processes, information diffusion and network evolution, have been predominantly studied separately, ignoring their co-evolutionary dynamics.  ...  We propose a temporal point process model, COEVOLVE, for such joint dynamics, allowing the intensity of one process to be modulated by that of the other.  ...  Background on Temporal Point Processes A temporal point process is a random process whose realization consists of a list of discrete events localized in time, {t i } with t i ∈ R + and i ∈ Z + .  ... 
arXiv:1507.02293v2 fatcat:qp2txivmprhmpep7pjspsi4stq

State-of-the-Art of Optimal Active and Reactive Power Flow: A Comprehensive Review from Various Standpoints

Ehsan Naderi, Hossein Narimani, Mahdi Pourakbari-Kasmaei, Fernando V. Cerna, Mousa Marzband, Matti Lehtonen
2021 Processes  
To address such issues, innovative alternatives, namely heuristic algorithms, have been introduced by many researchers.  ...  Inasmuch as these state-of-the-art algorithms show a significant degree of convenience in dealing with a variety of optimization problems irrespective of their complexities, they have been under the spotlight  ...  In [41] , a MOOPF problem was solved by two popular meta-heuristics algorithms, namely, the ABC and the Teaching-Learning-Based Optimization (TLBO) Algorithm.  ... 
doi:10.3390/pr9081319 fatcat:ctyq6qbryrbovimu6otx6zebce

Toward Information Diffusion Model for Viral Marketing in Business

Lulwah AlSuwaidan, Mourad Ykhlef
2016 International Journal of Advanced Computer Science and Applications  
The proposed model attempts to solve the dynamicity and large-scale data of social networks by adopting incremental clustering and a stochastic differential equation for business-to-business transactions  ...  Current obstacles in the study of social media marketing include dealing with massive data and real-time updates have motivated to contribute solutions that can be adopted for viral marketing.  ...  Two clusters were used as a strong tie cluster and weak tie cluster. They also introduced two algorithms: cluster mining and influence mining.  ... 
doi:10.14569/ijacsa.2016.070280 fatcat:6t4mopwhjrgovkyejylkac7lfm

Brain-Like Emergent Temporal Processing: Emergent Open States

Juyang Weng, Matthew D. Luciw, Qi Zhang
2013 IEEE Transactions on Autonomous Mental Development  
Through incremental learning and autonomous practice, the DN lumps (abstracts) infinitely many temporal context sequences into a single equivalent state.  ...  The experiment for text language, using corpora from the Wall Street Journal, treated semantics and syntax in a unified interactive way.  ...  ACKNOWLEDGEMENTS The authors like to thank the support from, and discussions with, Drs.  ... 
doi:10.1109/tamd.2013.2258398 fatcat:hkyz5ri2qnc7flsazpejw55cue

Medical image segmentation using deep learning: A survey

Risheng Wang, Tao Lei, Ruixia Cui, Bingtao Zhang, Hongying Meng, Asoke K. Nandi
2022 IET Image Processing  
A comprehensive thematic survey on medical image segmentation using deep learning techniques is presented. This paper makes two original contributions.  ...  For weakly supervised learning approaches, we investigate literature according to data augmentation, transfer learning, and interactive segmentation, separately.  ...  a better reference for clinicians; on the other hand, with the development of deep learning techniques, a large number of training samples are necessary, so many research teams have collected many samples  ... 
doi:10.1049/ipr2.12419 fatcat:zvgj3vdzqbfbzjoglgmtnn6ukq

A Computational Turn in Policy Process Studies: Coevolving Network Dynamics of Policy Change

Maxime Stauffer, Isaak Mengesha, Konrad Seifert, Igor Krawczuk, Jens Fischer, Giovanna Di Marzo Serugendo
2022 Complexity  
The past three decades of policy process studies have seen the emergence of a clear intellectual lineage with regard to complexity.  ...  Building on a critical review of the application of complexity theory to policy process studies, we present and implement a baseline model of policy processes using the logic of coevolving networks.  ...  I.M. implemented the model and analyzed the results. I.K. implemented an earlier version of a baseline model of policy processes.  ... 
doi:10.1155/2022/8210732 doaj:297d4202e8e4416dafc8fed7204aaa0a fatcat:2mw2ka2eqjc7rcnwd4toowv4ge

Process models in design and development

David C. Wynn, P. John Clarkson
2017 Research in Engineering Design  
Many models of the design and development process have been published over the years, representing it for different purposes and from different points of view.  ...  It is demonstrated that the framework integrates coverage of earlier reviews and as such provides a new perspective on the literature.  ...  Acknowledgements The authors gratefully acknowledge past and present collaborators, including Claudia Eckert, Martin Stacey, and Vince Thomson, for many discussions on DDP models.  ... 
doi:10.1007/s00163-017-0262-7 fatcat:hwvrs7ykrjcghgotafqc2eoreu

Scaling up data mining algorithms: review and taxonomy

Nicolás García-Pedrajas, Aida de Haro-García
2012 Progress in Artificial Intelligence  
Two approaches have been used to deal with this problem: scaling up data mining algorithms and data reduction.  ...  A taxonomy of the algorithms is proposed, and many examples of different tasks are presented. N. García-Pedrajas (B) · A.  ...  Acknowledgments This work was supported in part by the Grant TIN2008-03151 of the Spanish "Comisión Interministerial de Ciencia y Tecnología" and the Grant P09-TIC-4623 of the Regional Government of Andalucía  ... 
doi:10.1007/s13748-011-0004-4 fatcat:o53sri33rbf5dmjazaexfwvxeq

A Proposed Model Of Agile Methodology In Software Development

Anjali Sharma*, Karambir
2016 Zenodo  
network and a Machine Learning Technique Random Forest.  ...  To achieve better prediction, effort estimation of agile projects we will use Random Forest with Story Points Approach (SPA) in place of neural network because Random Forest is easy to implement and better  ...  Cascade-correlation (CC) is an architecture and generative, feed-forward, supervised learning algorithm.  ... 
doi:10.5281/zenodo.57031 fatcat:zncd6bcwifdf3g5h4nrhweob7u

Evolutionary Network Analysis

Charu Aggarwal, Karthik Subbian
2014 ACM Computing Surveys  
Some dynamic networks have a much faster rate of edge arrival and are referred to as network streams or graph streams.  ...  When a network evolves, the results of data mining algorithms such as community detection need to be correspondingly updated.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory  ... 
doi:10.1145/2601412 fatcat:hvm37apdbzgnzkgilt2te6gfba

An Integrated Knowledge Discovery and Data Mining Process Model [chapter]

Sumana Sharma, Kweku-Muata Osei-Bryson
2015 Knowledge Discovery Process and Methods to Enhance Organizational Performance  
Osei-Bryson, you are a true scholar with a gentle soul, and I am so grateful that I had you as my advisor.  ...  I feel extremely fortunate in that I had the opportunity to work with him, and regard the moment when I got introduced to him as the turning point in my academic life.  ...  Data mining tools include many types of algorithms, such as rough and fuzzy sets, Bayesian methods, evolutionary computing, machine learning, neural networks, clustering, preprocessing techniques, etc.  ... 
doi:10.1201/b18231-5 fatcat:cmb5frhjczhcnlmzd5f7u55nvu

Generative learning structures and processes for generalized connectionist networks

Vasant Honavar, Leonard Uhr
1993 Information Sciences  
It motivates and develops a class of new learning algorithms for massively parallel networks of simple computing elements.  ...  We call this class of learning processes generative for they offer a set of mechanisms for constructive and adaptive determination of the network architecture -the number of processing elements and the  ...  recognition and description of 3-dimensional objects (Honavar, 1992a; 1992b) ; generative learning with structured representations (Honavar, 1992a) ; improved weight modification algorithms, extraction  ... 
doi:10.1016/0020-0255(93)90049-r fatcat:morbfkje7nfxbccyenfukuppvi
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