Load optimization in a planar network

Load optimization in a planar network

We analyze the asymptotic properties of an Euclidean optimization problem on the plane. Specifically, we consider a network with 3 bins and n objects spatially uniformly distributed, each object being allocated to a bin at a cost depending on its position. Two allocations are considered: the allocation minimizing the bin loads and the allocation allocating each object to its less costly bin. We...

Load balancing in a network using Ant colony optimization technique

Using a Neural Network instead of IKM in 2R Planar Robot to follow rectangular path

Abstract— An educational platform is presented here for the beginner students in the Simulation and Artificial Intelligence sciences. It provides with a start point of building and simulation of the manipulators, especially of 2R planar Robot. It also displays a method to replace the inverse kinematic model (IKM) of the Robot with a simpler one, by using a Multi-Layer Perceptron Neural Network ...

Load Flow Analysis Using Particle Swarm Optimization Trained Neural Network

A new method of load flow analysis of a power system using Particle Swarm Optimization (PSO) trained neural network is proposed in this paper. Load Flow Analysis is the first and foremost step in power system analysis. It is necessary to solve load flow problem for Power System Planning, Contingency analysis, and Stability analysis. The results obtained from the load flow analysis are Voltage m...

Prediction and optimization of load and torque in ring rolling process through development of artificial neural network and evolutionary algorithms

Developing artificial neural network (ANN), a model to make a correct prediction of required force and torque in ring rolling process is developed for the first time. Moreover, an optimal state of process for specific range of input parameters is obtained using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. Radii of main roll and mandrel, rotational speed of main roll, pr...