Hybrid Conferencee

International Conference on Computational Techniques for Numerical Optimization (ICCTNO - 26)

31st - 1st August 2026 | Malaga, Spain
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Conference Brochure
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Malaga. 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 Malaga 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 Malaga conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Malaga, 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 Malaga."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCTNO 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 Numerical Methods, 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
Numerical optimization techniques and applications
02
Applications of optimization in engineering
03
Stochastic optimization methods in numerical analysis
04
Adaptive optimization algorithms
05
Error analysis in numerical optimization
06
High-dimensional optimization problems
07
Optimization techniques for PDEs
08
Comparative studies of optimization methods
09
Real-time optimization in numerical simulations
10
Integration of AI in numerical optimization
11
Challenges in numerical optimization
12
Future trends in numerical optimization techniques
13
Optimization in computational fluid dynamics
14
Multi-objective optimization techniques
15
Numerical optimization for complex systems
16
Parallel computing for optimization problems
17
Applications of optimization in finance
18
Optimization techniques for machine learning
19
Dynamic optimization methods
20
Recent advances in numerical optimization