ADDOPTML2025, OPTARCH2025, and OPT-iii2025 aim to bring researchers from around the world to share their research findings and address issues related to research in the area of sustainability and resilience in all engineering fields. The Conference intends to be a forum and networking place for academics, researchers, professionals, decision-makers, practitioners, and students. The topics of the conference include, but are not limited to the following areas:
- A holistic machine learning aided
- The manufacturing process of civil structures
- Additive manufacturing optimized structural elements for transitional structures.
- Shape and topology optimization: topological derivatives, level set methods, isogeometry-based shape optimization, topometry, and topography optimization, sensitivity analysis, etc.
- Linear, nonlinear, stochastic, parametric, discrete, and dynamic programming – modeling.
- Optimization software.
- Evolutionary algorithms, swarm optimization, scatter search, etc.
- Parallel and distributed computing in optimization – Cloud computing, GPGPU computing environment.
- Theory of metaheuristics, landscape analysis, convergence, large neighborhoods, etc.
- Multiple criteria decision making and optimization.
- Local search, tabu search, simulated annealing, VNS, ILS, etc.
- Hybrid methods with metaheuristics, machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, etc.
- Energy (energy harvesting, storage, delivery, efficiency, etc.), environment and climate.
- Artificial intelligence, surrogates-metamodels, fuzzy systems.
- Structural optimization: composite materials, transient loads and crash, fatigue, fracture, etc.
- Lifecycle design optimization and structural health monitoring.
- Multidisciplinary and multiphysics design optimization.
- Emergent nature-inspired algorithms: quantum computing, artificial immune systems, DNA computing, etc.
- Design under uncertainty: robust design optimization, reliability-based design optimization, theoretical foundations, and framework.
- Optimization in emerging areas like micro- and nano-mechanics, multiscale, and additive manufacturing.
- Generative and parametric design.
