electric wheelchairs (ew) experience various terrains surfaces and slopesas well asoccupants with diverse weights. this, in turn, imparts a substantial amount of perturbation to the ewdynamics. in this paper we make use of a two-degree-of-freedom control architecture called disturbance observer (dob) which reduces sensitivity to model uncertainties while enhancing rejection of disturbances caus...

Walking mechanisms are a solution for cases in which wheels not applicable, such as uneven or stepped surfaces and withobstacles. Furthermore, it is possible to tailor mechanism footpaths expected working conditions through optimization. Thus, this paper, optimization process was proposed, focusing on single-leg performance. Numerical Simulink calculations were used determine objective function...

The shortest path routing problem is a multiobjective nonlinear optimization problem with constraints. This problem has been addressed by considering Quality of service parameters, delay and cost objectives separately or as a weighted sum of both objectives. Multiobjective evolutionary algorithms can find multiple pareto-optimal solutions in one single run and this ability makes them attractive...

The shortest path routing problem is a multiobjective nonlinear optimization problem with constraints. This problem has been addressed by considering Quality of service parameters, delay and cost objectives separately or as a weighted sum of both objectives. Multiobjective evolutionary algorithms can find multiple pareto-optimal solutions in one single run and this ability makes them attractive...

Atmospheric pollutants mainly produced by thermal power plants compel to utilize green energy sources such as renewable and hydroelectric in a system. But due blinking behavior of very high rate outages, it has detrimental consequence on overall grid. Demand side management (DSM) programs decrease cost improve system security. This study proposes non-dominated sorting genetic algorithm-II (NSGA...

In this paper, a procedure has been introduced to the multi-objective optimal design of semi-active tuned mass dampers (SATMDs) with variable stiffness for nonlinear structures considering soil-structure interaction under multiple earthquakes. Three bi-objective optimization problems have been defined by considering the mean of maximum inter-story drift as safety criterion of structural compone...

To solve single and multi-objective optimization problems, evolutionary algorithms have been created. We use the non-dominated sorting genetic algorithm (NSGA-II) to find Pareto front in a two-objective portfolio query, its extended variant NSGA-III three-objective problem, this article. Furthermore, both we quantify Karush-Kuhn-Tucker Proximity Measure (KKTPM) for each generation determine how...

The thermal aware floor planning for VLSIs and placement optimization of electronic components on printed circuit boards (PCBs) using genetic algorithms (GAs) are well studied. However, there no technical paper component considering the heat smartglasses. In this paper, we propose a method optimizing equipped smartglasses elitist non-dominated sorting algorithm (NSGA-II) resistance circuit. Ele...

<p style='text-indent:20px;'>This study concerns the optimization of green supply chain network design under demand uncertainty. The issue uncertainty has been addressed using a scenario-based analysis approach. main contribution this research is to investigate cross-dock based formulation and metaheuristic algorithms. problem formulated as two-objective mathematical model with objectives...