In this article, we consider distributed stochastic optimization over randomly switching networks, where agents collaboratively minimize the average of all agents’ local expectation-valued convex cost functions. Due to stochasticity in gradient observations, distributedness functions, and randomness communication topologies, algorithms with an exact convergence guarantee under fixed step-sizes ...

Abstract This paper presents a new topology optimization framework in which the design decisions are made by humans and machines collaboration. The Human-Informed Topology Optimization approach eases accessibility of tools enables improved identification for so-called ‘everyday’ ‘in-the-field’ situations. is based on standard density-based compliance minimization. However, engineer enabled to a...

a hydrothermal method for preparation of nano-size zirconia has been studied to optimize the effective parameters (precursor concentration, temperature and time) using response surface methodology (rsm). the synthesized zirconia samples were characterized through x-ray diffraction (xrd), scanning electron microscope (sem) and transmission electron microscopy (tem) analyses to identify mean nano...

in view of the increase in saccharomyces cerevisiae mannan content, the culture condition for s.cerevisiae were optimized in this study. the influence of culture condition such as original ph, inoculum size, and temperature on mannan production were evaluated using response surface methodology. the mathematical model was established by the quadratic rotary combination design. with the order of ...

cement powder size classification efficiency significantly affects quality of final product and extent of energy consumption in clinker grinding circuits. static and dynamic or high efficiency air separators are being used widely in closed circuit with multi-compartment tube ball mills, high pressure grinding rolls (hpgr) and more recently vertical roller mills (vrm) units in cement plants to c...

Gate and runway combinational optimization (GRCO) problem is of great significance in airport operation. In this paper, experimental analysis is performed on the parameters characteristics of the discrete particle swarm optimization (DPSO) algorithm for combinatorial optimization problems. Inertia weight, acceleration constants and population size all have an important impact on the performance...

The performance of the MAX -MIN ant system (MMAS) in dynamic optimization problems (DOPs) is sensitive to the colony size. In particular, a large colony size may waste computational resources whereas a small colony size may restrict the searching capabilities of the algorithm. There is a trade off in the behaviour of the algorithm between the early and later stages of the optimization process. ...