RNA Secondary Structure prediction is one of the most significant research areas in bioinformatics. This paper presents a RNA secondary structure prediction using the permutation-based Genetic Algorithm (GA). We analyse the selection function STDS and Keep-Best Reproduction (KBR) genetic algorithm replacement techniques, and also using the genetic algorithm crossover operators. We take the SsrS...

When using representations for genetic algorithms (GAs) every optimization problem can be separated into a genotype-phenotype and a phenotype-fitness mapping. The genotype-phenotype mapping is the used representation and the phenotype-fitness mapping is the problem that should be solved. This paper investigates how the use of different binary representations of integers influences the performan...

In this paper, the development of a genetic algorithms based scheduling tool that takes into account multiple resource constraints and multiple levels of product structure is described. The genetic algorithms includes a repair process that rectifies infeasible chromosomes that may be produced during evolution process. The algorithm includes problem encoding, chromosome representation and initia...

When using representations for genetic algorithms (GAs) every optimization problem can be separated into a genotype-phenotype and a phenotype-fitness mapping. The genotypephenotype mapping is the used representation and the phenotype-fitness mapping is the problem that should be solved. This paper investigates how the use of different binary representations of integers influences the performanc...

value firstly. Computation efficiency will decrease. Abstract⎯Real-coded genetic algorithm (RGA) usually meets the demand of consecutive space problem. However, compared with simple genetic algorithm (SGA), RGA also has the inherent disadvantages such as prematurity and slow convergence when the solution is close to the optimum solution. This paper presents an improved real-coded genetic algori...

Network coding has been confirmed as a potential technology to improve performance of wireless mesh networks (WMNs) and a few network coding aware routings have been proposed. However, these mechanisms detect coding opportunities through local traffic pattern checking, which hardly obtains optimal routes. This paper proposes a Genetic algorithm based Coding Aware Routing (GCAR) for wireless mes...

Web log files have become important data source for discoveries of user behaviors. Analyzing web log files is one of the significant research fields of web mining. This paper proposes an improved double-points crossover genetic algorithm for mining user access patterns from web log files. Our work contains three different components. First, we design a coding rule according to pre-processed web...

Solar Panels System (SPS) is a renewable power source with an essential drawback of low output voltage due to the effect aspects like intensity light and ambient temperature. The DC-DC boost converters are significantly used up SPS under certain set conditions. converter's current unstable, complex, varied. A three-term controller (proportional, integral, derivative) often because it can contro...

An adaptive genetic algorithm of service selection in pervasive computing is presented in this paper. By means of matrix encoding, this algorithm carries out selection, crossover and mutation operations of genetic algorithm, with matrix as individual chromosome and matrix array as gene. Based on the elitism selection strategy and adaptive strategy, this algorithm replicates the optimal individu...

The performance of a distribution center is typically judged on throughput-based criteria. Order picking consumes 30% to 40% of operation time in a typical distribution center. To effectively execute an order picking operation in a distribution center depends upon coordinating the formulation of the storage strategy, order processing, and planning the order picking route. However, it is usually...