Hybrid Conference (In Person / Virtual)

International Conference on Simulation-Based Optimization and Computational Techniques (ICSBOCT - 27)
6th - 7th April 2027 , Saskatoon, Canada
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Call For Papers

The ICSBOCT provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Computational Science, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Simulation-based optimization techniques
02
Computational methods for optimization problems
03
Applications of simulation in optimization
04
Stochastic simulation techniques for optimization
05
Real-time optimization through simulations
06
Data-driven approaches to simulation-based optimization
07
Challenges in simulation methodologies
08
Innovative algorithms for optimization problems
09
Multi-objective simulation-based optimization
10
Ethics in simulation-based optimization practices
11
Collaborative simulation techniques for optimization
12
Performance evaluation of optimization simulations
13
Future directions in simulation-based optimization
14
Applications of AI in optimization simulations
15
Dynamic simulations for optimization strategies
16
Interdisciplinary applications of simulation techniques
17
Visualization techniques for optimization results
18
Scalability challenges in simulation-based optimization
19
Applications of simulation in engineering design
20
Real-world case studies in optimization simulations

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.