A single row machine layout problem is studied with zoningconstraints and mutual clearances under an enhanced objective ofminimizing material flow cost installation cost. The isrestricted by positive negative zoning constraints to represent reallife problems. Moreover, needed between pairs aredivided in two types, which are must extra clearances, extraclearances reduced use adjacent machines to...

In interval type-2 fuzzy logic controllers (IT2-FLCs), the output processing includes type reduction and defuzzification. Recently, researchers have proposed many efficient type reduction algorithms, but there are no effective schemes to improve the output of defuzzification. This paper presents a geneticalgorithm-based type reduction algorithm, which reduces the type of an interval type-2 fuzz...

This paper describes a fuzzy-reasoning-based computer-aided diagnosis scheme for automated classification of cardiomyopathy from ultrasonic images. Unlike the conventional types of membership functions such as triangle and trapezoid, Gaussian-distributed membership functions (GDMFs) are employed in the present study. The GDMFs are initially generated using various texture-based features compute...

We consider several sequential processing algorithms for identifying genes in human DNA, based on detecting CpG islands. The algorithms are designed to capture the underlying statistical structure in a DNA sequence. Sequential processing using a Markov model and a hidden Markov model are shown to identify most CpG islands in annotated (marked) DNA subsequences in publicly available DNA data set...

Simulation is often used to gain an understanding of vehicle directional response. Furthermore, it is widely agreed that, given an adequate set of parameters that model the vehicle and the surface it drives on, it is reasonable to simulate a particular vehicle with a view toward understanding and perhaps improving its performance. This is not the case with the vehicle/driver system. Rather, in ...

Developing an efficient algorithm for predicting a pseudoknot structure of RNA has been a challenging problem because of its high computational complexity in both time and space. Structural alignment is one of the RNA secondary structure prediction methods, which predicts a secondary structure by aligning an RNA (called slave sequence) whose structure is unknown to an RNA (master sequence) with...

This paper presents the application of genetic algorithm for the analysis of six-phase self-excited induction generators (SPSEIG) by means of series compensation. A new, simple and generalized mathematical model for the steady-state analysis of SPSEIG with series compensation is proposed. The mathematical model is formed directly from the equivalent circuit of SPSEIG using nodal admittance meth...

the problem of scheduling with multi agent has been studiedfor more than one decade and significant advances have been madeover the years. however, most work has paid more attention to the conditionthat machines are available during planning horizon. motivatedby the observations, this paper studies a two-agent scheduling modelwith multiple availability constraint. each agent aims at minimizing ...

This paper presents a GeneticAlgorithm based decoder for a medium-sized Low Density Parity Check code (GAMD decoder). The main advantage of the proposed GAMD decoder is that no information on the noise level transmission channel is required, an essential condition for the well-known sum product algorithm. The proposed methodology combines a Genetic Algorithm stage with a meta-decision process. ...

Computational efficiency is of great significance for high-performance embedded applications. The work here develops and evaluates a geneticalgorithm-based (GA-based) optimization technique for the scheduling of messages for a class of parallel embedded signal processing techniques known as space–time adaptive processing (STAP). The GA-based optimization is performed off-line, resulting in stat...