International Conference on Simulation-Based Optimization and Computational Techniques

ICSBOCT

7th Dec – 8th Dec 2026 Malaga, Spain

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Registration Summary

Conference ICSBOCT

Date 7th Dec – 8th Dec 2026

Location Malaga, Spain

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Simulation-Based Optimization +

This track focuses on the latest methodologies and techniques in simulation-based optimization. Researchers are encouraged to present novel algorithms and frameworks that enhance optimization processes across various applications.

SDG 9 SDG 12

02 Computational Techniques in Applied Mathematics +

This session aims to explore innovative computational techniques that address complex problems in applied mathematics. Contributions should highlight the intersection of theoretical advancements and practical implementations.

SDG 4 SDG 9

03 Data Science Approaches in Simulation +

This track invites papers that discuss the integration of data science methodologies within simulation frameworks. Topics may include data-driven modeling, analysis, and the role of big data in enhancing simulation outcomes.

SDG 9 SDG 12

04 Machine Learning Applications in Optimization +

This session will cover the application of machine learning techniques to improve optimization processes. Papers should demonstrate how machine learning can be leveraged to solve complex optimization challenges.

SDG 8 SDG 9

05 Artificial Intelligence in Computational Science +

This track explores the role of artificial intelligence in advancing computational science. Contributions should focus on AI-driven methodologies that enhance computational efficiency and accuracy.

SDG 9 SDG 12

06 Algorithms for High-Performance Computing +

This session is dedicated to the development and analysis of algorithms designed for high-performance computing environments. Papers should address challenges and solutions related to scalability and efficiency in computational tasks.

SDG 9 SDG 12

07 Statistical Modeling Techniques in Risk Analysis +

This track invites discussions on statistical modeling techniques specifically applied to risk analysis. Contributions should highlight innovative approaches to quantifying and managing risk in various domains.

SDG 3 SDG 8

08 Probability and Quantitative Methods in Simulation +

This session will focus on the application of probability theory and quantitative methods in simulation studies. Researchers are encouraged to present methodologies that enhance the reliability and validity of simulation results.

SDG 9 SDG 12

09 Predictive Analytics in Computational Techniques +

This track aims to explore the role of predictive analytics in enhancing computational techniques. Papers should demonstrate how predictive models can inform decision-making processes in various applications.

SDG 9 SDG 12

10 Numerical Methods for Complex Systems +

This session will cover the development and application of numerical methods for solving complex systems. Contributions should focus on innovative approaches that improve accuracy and efficiency in numerical simulations.

SDG 9 SDG 12

11 Research Applications of Simulation-Based Techniques +

This track invites papers that showcase real-world applications of simulation-based techniques across various research domains. Contributions should demonstrate the impact of these techniques on solving practical problems.

SDG 9 SDG 12