Due to the probabilistic nature and uncertainties of structural parameters, reliability-based optimization will enable engineers to account for the safety of the structures and allow for its decision making applicability. Thus, reliability-based design will substitute deterministic rules of codes of practice. Space structures are of those types that have an exceedingly high range of applicabili...

Distributed Constraint Optimization Problems (DCOPs) are an important subclass of combinatorial optimization problems, where information and controls distributed among multiple autonomous agents. Previously, Machine Learning (ML) has been largely applied to solve problems by learning effective heuristics. However, existing ML-based heuristic methods often not generalizable different search algo...

Many real-life optimization problems frequently contain one or more constraints objectives for which there are no explicit formulae. If however data on feasible and/or infeasible states available, these can be used to learn the constraints. The benefits of this approach clearly seen, however, is a need process carried out in structured manner. This paper, therefore, provides framework Optimizat...