This paper introduces a Minimum Description Length (MDL) principle to de ne tness functions in Genetic Programming (GP). In traditional (Koza-style) GP, the size of trees was usually controlled by user-de ned parameters, such as the maximum number of nodes and maximum tree depth. Large tree sizes meant that the time necessary to measure their tnesses often dominated total processing time. To ov...

Multi-robot task assignment is one of the main processes in an intelligent warehouse. This paper models multi-robot warehouse as open-path multi-depot asymmetric traveling salesman problem (OP-MATSP). A two-objective integer linear programming (ILP) model for solving OP-MDTSP proposed. The theoretical bound on computational time complexity this O(n!). We can solve small by ILP using Gurobi solv...

This paper proposes a fast and simple unsupervised word segmentation algorithm that utilizes the local predictability of adjacent character sequences, while searching for a leasteffort representation of the data. The model uses branching entropy as a means of constraining the hypothesis space, in order to efficiently obtain a solution that minimizes the length of a two-part MDL code. An evaluat...

This paper develops a theoretical framework for lossy source coding that treats it as a statistical problem, in analogy to the approach to universal lossless coding suggested by Rissanen’s Minimum Description Length (MDL) principle. Two methods for selecting efficient compression algorithms are proposed, based on lossy variants of the Maximum Likelihood and MDL principles. Their theoretical per...

In this paper, optimization of the backstepping controller parameters in a grid-connected single-phase inverter is studied using Imperialist competitive algorithm (ICA), Genetic Algorithm (GA) and Particle swarm optimization (PSO) algorithm. The controller is developed for the system based on state-space averaged model. By selection of a suitable Lyapunov function, stability of the proposed con...

the speech enhancement techniques are often employed to improve the quality and intelligibility of the noisy speech signals. this paper discusses a novel technique for speech enhancement which is based on singular value decomposition. this implementation utilizes a genetic algorithm based optimization method for reducing the effects of environmental noises from the singular vectors as well as t...

CDMA (Code Division Multiple Access) is a multiple access technique based on spread spectrum methods. To estimate the delay parameters appearing in the data model, several authors have proposed subspace-based solutions. Unfortunately, these methods, for example the eigenvector-based MUSIC method yields poor results at low signal-to-noise ratios. On the other hand, theoretically optimal maximum ...