Abstract: Particle swarm optimization (PSO) is predominately used to find solutions for continuous optimization problems. As the operators of PSO are originally designed in an n-dimensional continuous ...

Abstract: Decades of progress in simulation-based surrogate assisted optimization and unprecedented growth in computational power have enabled researchers and practitioners to optimize previously ...

Note that the higher the dimensionality (parameters number) of the optimization problem, the harder it is, and the slower the optimization process is. A family of problem-independent, gradient-free, ...

The targets of this research are problem-solving mathematical models that can solve mathematically vague problems in the real world by formulating them as mathematical problems. Such mathematical ...

Methods for NP-hard discrete optimization problems, including general methods like branch-and-bound and cutting planes, as well as special purpose branch-and-cut methods. Students will be able to ...