The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Evolutionary Computation and Machine Learning
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Evolutionary Computation and Machine Learning.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Evolutionary Computation and Machine Learning.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Evolutionary Computation and Machine Learning are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
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 Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
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,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
21. International Conference on Evolutionary Computation and Machine Learning has teamed up with the Special Journal Issue on
Evolutionary Computation and Machine Learning.
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.
Selected Papers
-
A Study on the Power Control of Wind Energy Conversion System
Mehdi Nafar, Mohammad Reza Mansouri
-
Artificial Intelligence in Management Simulators
Nuno Biga
-
High Resolution Image Generation Algorithm for Archaeology Drawings
X. Zeng, L. Cheng, Z. Li, X. Liu
-
Study of Deep Learning-Based Model for Recognizing Human Activities in IoT Applications
Tarunima Chatterjee, Pinaki Pratim Acharjya
-
An Approach to Control Electric Automotive Water Pumps Deploying Artificial Neural Networks
Gabriel S. Adesina, Ruixue Cheng, Michael Short, Geetika Aggarwal
-
A Cosmic Time Dilation Model for the Week of Creation
Kwok W. Cheung
-
An Attentional Bi-Stream Sequence Learner for Credit Card Fraud Detection
Mohsen Hasirian, Amir Shahab Shahabi
-
Finite-Sum Optimization: Adaptivity to Smoothness and Loopless Variance Reduction
Bastien Batardière, Joon Kwon
-
Preliminary Study of Hand Gesture Classification in Upper-Limb Prosthetics Using Machine Learning with Electromyographic Signals
Linghui “Jeff” Meng, James Atlas, Deborah Munro
-
Reinforcement Learning for Self Driving Racing Car Games
Adam Beaunoyer, Cory Beaunoyer, Mohammed Elmorsy, Hanan Saleh
-
A Fuzzy-Logic Approach to Rule-Based Systems for Leadership Style Selection
Kim Michelle Siegling, Thomas Spengler, Sebastian Herzog
-
Construction and Optimization of Green Infrastructure Network in Mountainous Counties: A Case Study of Shapingba District, Chongqing, China
Yuning Guan
-
Applying Epistemology to AI in the Social Arena: Exploring Fundamental Considerations
Gianni Jacucci
-
A Phenomenological Method Based on Professional Descriptions of Community-of-Practice Members to Scientifically Determine the Level of Child Psycho-Social-Emotional Development
Gianni Jacucci
-
Analysis and Prediction of Decadal Hydrological Cycles: A Case Study of the Limpopo River Basin
Fulufhelo Khangale, Ednah Onyari, Idowu Bodunrin
Conference venue information will be released soon.
Computer science
Computer system
Complex systems
Design and analysis of algorithms
Logic and proof
Models of computation
Object-oriented programming
Intelligent systems
Computational learning theory
Computational complexity
Lambda calculus and types
Computer animation
Machine learning
Computational linguistics
Automata, logic and games
Concurrent algorithms and data structures
Decision tree learning
Association rule learning
Artificial neural networks
Deep Learning
Inductive logic programming
Support vector machines
Clustering
Bayesian networks
Reinforcement learning
Representation learning
Similarity and metric learning
Sparse dictionary learning
Genetic algorithms
Open-source software
Commercial software with open-source editions
Commercial software
Supervised learning
Unsupervised learning
Reinforcement learning
Pattern recognition
Data mining
| Abstracts/Full-Text Paper Submission Deadline |
|
February 13, 2026 |
| Notification of Acceptance/Rejection |
|
February 27, 2026 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
January 21, 2027 |
| Conference Dates |
|
February 22-23, 2027 |
