Open Science Research Excellence

ICEC 2019 : International Conference on Evolutionary Computing

Dubai, UAE
December 19 - 20, 2019

Conference Code: 19AE12ICEC

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICEC 2019 has teamed up with the Special Journal Issue on Evolutionary Computing. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   August 29, 2019
Notification of Acceptance/Rejection   September 10, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 19, 2019
Conference Dates   December 19 - 20, 2019

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Multi-Objective Optimization of Run-of-River Small-Hydropower Plants Considering Both Investment Cost and Annual Energy Generation
Amèdédjihundé H. J. Hounnou, Frédéric Dubas, François-Xavier Fifatin, Didier Chamagne, Antoine Vianou
2) Design Optimization of Doubly Fed Induction Generator Performance by Differential Evolution
Mamidi Ramakrishna Rao
3) A Mean–Variance–Skewness Portfolio Optimization Model
Kostas Metaxiotis
4) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
5) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
6) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
7) Multi-Objective Optimization of Combined System Reliability and Redundancy Allocation Problem
Vijaya K. Srivastava, Davide Spinello
8) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
9) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
10) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
11) Long Short-Term Memory Based Model for Modeling Nicotine Consumption Using an Electronic Cigarette and Internet of Things Devices
Hamdi Amroun, Yacine Benziani, Mehdi Ammi
12) Reliability and Cost Focused Optimization Approach for a Communication Satellite Payload Redundancy Allocation Problem
Mehmet Nefes, Selman Demirel, Hasan H. Ertok, Cenk Sen
13) Relay Node Placement for Connectivity Restoration in Wireless Sensor Networks Using Genetic Algorithms
Hanieh Tarbiat Khosrowshahi, Mojtaba Shakeri
14) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
15) Presentation of a Mix Algorithm for Estimating the Battery State of Charge Using Kalman Filter and Neural Networks
Amin Sedighfar, M. R. Moniri

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