The Workshop on Big Optimization (WBO25) aims to bring together researchers, practitioners, and industry experts to explore the challenges and advancements in solving large-scale, complex optimization problems. The workshop focuses on fostering collaboration across disciplines such as computer science, operations research, artificial intelligence, and applied mathematics.
This workshop emphasizes innovative approaches in heuristics, metaheuristics, and hybrid methods, as well as their applications in big data optimization, high-dimensional problem spaces, and computationally expensive domains. Participants will have the opportunity to discuss emerging trends, share best practices, and identify future research directions in this rapidly evolving field.
WBO25 is an inclusive platform, welcoming contributions spanning theoretical foundations, algorithmic developments, real-world applications, and computational frameworks. The workshop will be held in a hybrid format, allowing participation both in person and online.
Topics of Interest
Algorithmic Foundations
Heuristics and metaheuristics (genetic algorithms, ant colony, particle swarm, etc.)
Hybrid methods combining exact and heuristic approaches
Multi-objective optimization and trade-off analysis
Optimization under uncertainty and stochastic methods
Artificial Intelligence in Optimization
Deep learning–assisted optimization
Reinforcement learning for optimization problems
Large Language Model (LLM) Optimization
Computational Techniques & Frameworks
Scalable algorithms for large-scale optimization
Parallel and distributed techniques
Cloud and high-performance computing solutions
Applications of Optimization
Big data analytics
Network design and communication systems
Supply chain, logistics, scheduling, and resource allocation
Energy management, smart grids, and robotics
Healthcare (drug design, hospital scheduling, etc.)
Emerging Trends
Bio-inspired and nature-inspired optimization methods
Quantum computing for optimization
Sustainability and climate change
The submission and review process will be managed through the Microsoft CMT system. Participants are required to create a Microsoft CMT account (if they do not already have one) to submit their papers.
Submissions must be in English, and all papers should follow the prescribed formatting guidelines. Detailed instructions for paper submission, including formatting templates and submission deadlines, are available on the official workshop website.
Accepted regular and short papers will be published as post-proceedings in the Studies in Big Data (SBD) series by Springer.
We invite contributions from all areas of optimization that align with the workshop’s topics. We look forward to receiving your submissions and engaging with you in this exciting event.