2nd Computational modeling, optimization and simulation have become an important paradigm in contemporary engineering and science. In almost all applications in engineering and industry, we are always trying to optimize something, whether to minimize cost and energy consumption, or to maximize profit, performance and efficiency. Due to limited resources and time constraints, optimization becomes critically important. Optimum use of available resources of any kind requires a paradigm shift in scientific thinking. This is because most real-world applications have complex factors and parameters affecting system behavior; subsequently, it is not always possible to find an optimal solution. In many cases, we have to settle for suboptimal solutions or even feasible solutions that are good enough and practically achievable on a reasonable time scale.

There are a number of challenges in applying numerical optimization to solve real-world problems in engineering, science, and industry. Problems can be caused by high non-linearity of the objective function and/or constraints, the scale of the problem itself, such as a large number of design variables, exponential growth of the size of the search space with the number of design parameters, presence of multiple local optima, non-fluency of objectives/constraints, presence of uncertainties, to name a few some. On the other hand, current engineering design is heavily based on computer simulations, which tend to be more and more time-consuming despite the increase in available computing power. The increasing cost of simulation is a source of additional optimization difficulties and creates a need to develop better (or smarter) algorithms that are able to provide satisfactory designs in a reasonable time frame. For this purpose, it is often necessary to use auxiliary models that incorporate certain knowledge about the system under consideration and are computationally inexpensive.

The International Conference on Computational Modeling, Optimization & Simulation (CMOS 2025) shall be organized by the IIMT, Bhubaneswar, Odisha, India during April 27th-28th, 2025. The conference provides a platform to discuss and share knowledge on Computational Modeling, Optimizationand Simulation across many disciplines.

The main goal of CMOS 2025 is to provide a platform for local and international participants to exchange ideas and facilitate interaction among researchers through an International Conference, Special Sessions and workshops.CMOS 2025 invites local/international researchers who are interested in exploring and sharing knowledge and skills relating to Computational Modeling, Optimization and simulation.