Hybrid Conferencee

International Conference on Computational Optimization and Simulation Techniques (ICCOST - 26)

10th - 11th October 2026 | Berlin, Germany

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Berlin. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Berlin event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Berlin conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Berlin, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Berlin."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCOST aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computational Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Optimization techniques in computational simulations
02
Simulation-based optimization strategies
03
Numerical methods for optimization problems
04
Applications of optimization in engineering
05
Computational techniques for large-scale optimization
06
Stochastic optimization methods and applications
07
Parallel optimization algorithms for simulations
08
Real-time optimization in computational settings
09
Multi-objective optimization techniques
10
Optimization in machine learning models
11
Robust optimization under uncertainty
12
Applications of optimization in finance
13
Optimization techniques in operations research
14
Data-driven optimization frameworks
15
Challenges in computational optimization
16
Simulation techniques for optimization problems
17
Dynamic optimization in computational systems
18
Ethical considerations in optimization practices
19
Future directions in computational optimization
20
Integration of AI in optimization techniques