Stability is an important constraint in power system operation; the transient stability constrained optimal power flow (TSCOPF) has a considerable attention in recent years. The solution obtained from the conventional optimal power flow (OPF), which considers only the static constraints, does not guarantee transient stability in the system against possible contingencies such as line fault. In t...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

Swarm robotics is the study of large groups of relatively homogeneous robots and their task solving capabilities. The robots of a swarm robotic system are relatively simple and incapable when compared to the tasks that they are expected to accomplished [10]. Thus, it is important to have enough units and a distributed control law that is effective. Because the individual behaviour of social ins...

in this paper a mesh-free model of the functionally graded material (fgm) plate is presented.  the piezoelectric material as a sensor and actuator has been distributed on the top and bottom of the plate, respectively. the formulation of the problem is based on the classical laminated plate theory (clpt) and the principle of virtual displacements. moreover, the particle swarm optimization (pso) ...

-This paper presents the scheme of vector control of Induction Motor using three different types of speed controllers, conventional PI controller, ANN speed controller and PI controller, for which parameters are optimized using Particle Swarm Optimization technique. The disadvantage of the PI controller like slow response and large settling time are avoided using the ANN speed controller. The d...

Aiming at the sensitivity to initial value and long computation time spent on iteration and programming the reference trajectory in reentry trajectory optimization for hypersonic vehicles, we propose a trajectory programming algorithm, which is based on drag acceleration profile. First of all, models of motion in reentry process of vehicle are built and an independent variable is introduced for...

High-rise buildings require the installation of complex elevator group control systems (EGCS). In vertical transportation, when a passenger makes a hall call by pressing a landing call button installed at the floor and located near the cars of the elevator group, the EGCS must allocate one of the cars of the group to the hall call. We develop a Particle Swarm Optimization (PSO) algorithm to dea...

This paper proposes a control strategy for descriptor non-polynomial systems using particle swarm optimization(PSO). Basic idea of our approach is to extend the existing approaches for estimating the domain of attraction(DOA) of the non-polynomial systems to synthesis of stabilizing control. To do this we derive the stability conditions for estimating the DOA with input magnitude constraints. F...

This paper presents a novel design for mobile robot using particle swarm optimization (PSO) and adaptive NN control. The adaptive NN control strategy guarantees that robot with nonholonomic constraints can follow smooth trajectories. Based on this property, a PSO algorithm for path planning is proposed. The path planning generates smooth path with low computational cost to avoid obstacles, so t...

One of the main challenges in human-swarm interactions is the construction of suitable abstractions that make an entire robot team amenable to human control. For such abstractions to be useful, they need to scale gracefully as the number of robots increases. In this work, we consider the use of time-varying density functions to externally influence a robot swarm. Density functions abstract away...