Using snakes to extract buildings from satellite imagery such as IKONOS and Quickbird is an active activity in remote sensing society. Building extraction from satellite imagery has more than 20 years of history but the automated extractions are still undergoing developmental stages due to increasing image variation, required level of details and higher resolution imagery are acquired. This pap...

This paper presents an intelligent approach to identify parameters of single-phase induction motors. Because of the complication of space-phasor equations describing its dynamic behaviors, the parameters of single-phase induction motors could be roughly estimated via conventional tests based on the steady-state analysis. Therefore, they may cause inaccurate estimation. In this paper, some effic...

This paper presents a consolidated view of the computational intelligence used in the natural language steganalysis. In order to understand the human intelligence on natural language, four major computational intelligence methods have been identified. They are bayesian, fuzzy logic, neural network, and genetic algorithm. This paper also presents a measurement tool to measure the natural languag...

In this paper, scheduling problems in Flexible Manufacturing Cells (FMC) are studied. The scheduling objective is to minimize the makespan. We used a genetic algorithm (GA) for solving the optimization scheduling problem. We have developed one FMC with industrial characteristics with the objective of studying scheduling problems in these types of manufacturing systems (single machine scheduling...

This paper investigates the use of ant-colony optimization, simulated annealing, and genetic algorithms for distribution network expansion planning (DNEP) including distributed generation (DG). It may be introduced as a combinatorial optimization method that determines the location and capacity of feeders and substations while minimizing the network loss and installation cost. In this paper, DG...

In this paper, the authors present general views of computer vision and image processing based on optimization. Relaxation and regularization in both broad and narrow senses are used in various fields and problems of computer vision and image processing, and they are currently being combined with general-purpose optimization algorithms. The principle and case examples of relaxation and regulari...

Fractal is a tool in data fitness and interpolation. It’s better to fit complex graphs. But optimization of fitness has proven to be a challenging problem in application of fractal. In this paper, a description of a genetic algorithm (GA) and the software written to optimize effect on self-affine fractal interpolation function (AFIF) implement is given. The software developed was tested on real...

This paper presents an optimal design method to optimize three-phase induction motor in manufacturing process. The optimally designed motor is compared with an existing motor having the same ratings. The Genetic Algorithm is used for optimization and three objective functions namely torque, efficiency, and cost are considered. The motor design procedure consists of a system of non-linear equati...

With resent advances of Deep Sub Micron technologies, the floorplanning problem is an essential design step in VLSI layout design and it is how to place rectangular modules as density as possible. In this paper, we propose a novel constraint driven floorplanning technique based on Genetic Algorithm (GA). Many works have done for the floorplanning problem using GA. However, no studies have ever ...

This paper describes a new technique for solving the duration minimization in a resourceconstrained network. It is based on a transformation of the resource-constrained project scheduling problem (RCPSP) to a sequence of (multi)knapsack problem (MKP) solutions. In the first part, three deterministic approaches are summarized and their time complexity is discussed. Due to the combinatorial natur...