Journal•ISSN: 1006-2475
Computer and Modernization
Computer Science in Jiangxi Province
About: Computer and Modernization is an academic journal. The journal publishes majorly in the area(s): Software & Artificial neural network. Over the lifetime, 911 publications have been published receiving 1665 citations.
Papers published on a yearly basis
Papers
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TL;DR: A theory of benchmarking within scientific disciplines is formulated and software engineering research is challenged to become more scientific and cohesive by working as a community to define benchmarks.
Abstract: Benchmarks have been used in computer science to compare the performance of computer systems,information retrieval algorithms,databases,and many other technologiesThe creation and widespread use of a benchmark within a research area is frequently accompanied by rapid technical progress and community buildingThese observations have led us to formulate a theory of benchmarking within scientific disciplinesBased on this theory,we challenge software engineering research to become more scientific and cohesive by working as a community to define benchmarksIn support of this challenge,we present a case study of the reverse engineering community,where we have successfully used benchmarks to advance the state of research
81 citations
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TL;DR: A discrete particle swarm optimization algorithm for solving traveling salesman problem (TSP) has good performance and good rudeness for solving TSP, and some cases from TSPLIB are tested.
Abstract: A discrete particle swarm optimization algorithm is proposed for solving traveling salesman problem(TSP).It defines a newly velocity.It also defines some new operators between particle and velocity.A matrix,which keeps the sorted ascending edges by distance for each city is created,and a variable size of gene pool is implemented to direct the particle to search around the space.In this paper,some cases from TSPLIB are tested;the experiments results show that the algorithm has good performance and good rudeness for solving TSP.
32 citations
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TL;DR: The function of nonlinear curve fitting of MATLAB software is introduced, which is looking for better nonlinerar function to fit experimental data, in order to explore and get correct solution of non linear curve fitting.
Abstract: This paper introduces the function of nonlinear curve fitting of MATLAB software.By doing experiments with computer and error analysis,it is looking for better nonlinerar function to fit experimental data,in order to explore and get correct solution of nonlinear curve fitting.
30 citations
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TL;DR: The primary coverage is the Mobile equipment software platform of Google named Android and the development of Mobile termination application based on Android.
Abstract: The primary coverage is the Mobile equipment software platform of Google named Android and the development of Mobile termination application based on Android.
26 citations
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TL;DR: The optimization strategy of particle swarm optimization including improve the convergence rate,rete algorithms, improve overall group diversity and some suggestion on future trends and existing problems related to PSO algorithm are discussed and concluded.
Abstract: Particle swarm optimization algorithm is put forward according to the simulation of migration of bird flight their food-searching and the group model,and is a novel stochastic optimization algorithm which can use to solve optimization problems. The models of bird flocking and swarm actions are firstly introduced,and the fundamentals characteristics and the working mechanisms of PSO algorithm are also analyzed. Then this paper introduces the optimization strategy of particle swarm optimization including improve the convergence rate,discrete algorithms,improve overall group diversity. Finally,some suggestion on future trends and existing problems related to PSO algorithm are discussed and concluded.
22 citations