Computer Engineering and Design 

About: Computer Engineering and Design is an academic journal. The journal publishes majorly in the area(s): Web service & Software. Over the lifetime, 3864 publications have been published receiving 8184 citations.

Inductive learning algorithms and representations for text categorization

Abstract: Text categorization-assignment of natural language texts to one or more predefined categories based on their content-is an important component in many information organization and management tasks.Different automatic learning algorithms for text categori-zation have different classification accuracy.Very accurate text classifiers can be learned automatically from training examples.

Methodology on knowledge management

Abstract: Knowledge management is an important concept and means in contemporary enterprise management, and the aim of knowledge management is to manage knowledge completely, effectively and coherently. According to knowledge life cycle, specialties and applied fields of various knowledge managing technologies are summaried and compared through the researching on knowledge characteristic of different phases of knowledge management. The generalized learning and generalized computing technology are mainly discussed in its action. In the end, the fundamental theories and basic methods of knowledge management are summaried through comparative research on knowledge managing technologies and methods.

Survey of particle swarm optimization algorithm

Abstract: In order to promote the applications of particle swarm optimization algorithm(PSO),and provides the relevant information for the further research on this algorithm,a review on the recent progress of PSO is given.Based on the introduces of PSO's basic principles and mechanism,a thorough investigation on the research progress of PSO is given in aspects of parameter setting,convergence characteristic,topology,hybrid algorithm,and the applications in continuous and discrete domains.Finally,the future research issues of the PSO are given.

Genetic algorithm for VRP

Abstract: Based on the analysis of previous algorithms for VRP, a solution based on genetic algorithm is presented. Since the core of the genetic algorithm is the new construction of chromosome code and the combination of "Inver-Over" operator and tabu search. Dynamic illegal checking is proposed to expand solution space and accelerate search velocity. Many experimental results demonstrate that the new genetic algorithm has great robustness for VRP and optimal solutions have also been found.

Self-adapting control parameters in differential evolution

Abstract: Parameters setting is an important problem of evolution algorithms,including differential evolution algorithm.It has an effect on the performance of evolution algorithms.According to the problem of parameters of differential evolution,a method is presented,which uses self-adaptive as a scientific evidence to adjust parameters and set F and CR combined with modulated probability.An algorithm is presented,which depends on the fitness of individual and modulated probability set the parameters F and CR automatically.This method can get the optimal control parameters for different optimization problem without user interaction.Moreover,two trial vectors are created by recombination for increased colony diversity and avoided premature convergence.These vectors compete with the parent individual to be the next generation.Experimental results indicate that the proposed algorithm is efficient and feasible.It is superior to other related methods such as DE,jDE,FADE,MPDE,DDE both on the quality of solution and on the convergence rate,especially for high dimension functions.