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This paper presents the comparison of two different algorithms: a Univariate Marginal Distribution Algorithm for Analog Circuits (UMDA-AC) and a Genetic Algorithm for Analog Circuits (GA-AC). These algorithms are compared in performing the synthesis of topology and sizing of an analog low pass filter. Modeling of circuits is made by means of a linear representation technique with a variable length...
Locality - how well neighbouring genotypes correspond to neighbouring phenotypes - has been defined as a key element in Evolutionary Computation systems to explore and exploit the search space. Locality has been studied empirically using the typical Genetic Algorithms (GAs) representation (i.e., bitstrings),and it has been argued that locality plays an important role in the performance of evolution...
Micro-population evolutionary algorithms (??-EAs) are useful tools for optimization purposes. They can be used as optimizers for unconstrained, constraint and multi-objective problems. ??-EAs distinctive feature is the usage of very small populations. A novel ??-EA named elitistic evolution (EEv) is proposed in this paper. EEv is designed to solve high-dimensionality problems (N ?? 30) without using...
This paper deals with the problem of optimizing a fuzzy self-tuning PID controller for robot manipulators. Fuzzy PID controllers have been developed and applied in many fields in the last fifteen years. However, there is no systematic method to design Membership Functions (MFs) for these controllers. We propose a simple method based on Genetic Algorithms (GA) to find optimal input and output MFs of...
Data compression is always advisable when it comes to handling and processing information quickly and efficiently. There are two main problems that need to be solved when it comes to handling data; store information in smaller spaces and processes it in the shortest possible time. When it comes to face recognition tasks, there is always the need to construct large image repositories from people. Images...
The process of titanium's machining in the aerospace industry today is by trial and error, it produce non efficient results, because this material is classified by the high chemical reaction with other materials and its low thermal conductivity such as a difficult to machine, so the process of finding the correct parameters for machining are hard to determine, and today researchers are looking to...
Human-robot interaction (HRI) has become a very important field on mobile robotics community. Service robots must have efficient modules for HRI, in order to deal with humans in a robust way. For a service robot, it is very important to interpret when a person needs or requires assistance. In this paper a system for the detection and analysis of corporal gestures (particularly walking gestures) is...
This paper is about scale-space image trees. We introduce here a variant of the sieve algorithm to produce sieve complement trees where not only extremal regions are characterized but also their corresponding complements. Different simplification methods can transform (or prune) the hierarchy into a simpler form where the remaining nodes represent regions that are noticeably different from their neighbourhood,...
We present a fast method for adding color to grayscale images. The method uses a statistical learning approach based on changes in intensity to color by example. Typically, these approaches take a considerable amount of time, proportional to the image size. To reduce the computational time, we propose a framework that first obtains a synthesized color image of a scaled version of the input grayscale...
In this paper, we cope with the problem of pose estimation of a calibrated camera from n 3D-to-2D point correspondences (PnP). In the state of the art, there exists an efficient solution to this problem (EPnP) with linear computational complexity; nevertheless, the solution is obtained as a linear combination of four eigenvectors of a matrix and the linear coefficients are not always straightforward...
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