Journal•ISSN: 1673-2057
Journal of Taiyuan University of Science and Technology
About: Journal of Taiyuan University of Science and Technology is an academic journal. The journal publishes majorly in the area(s): Multi-swarm optimization & Particle swarm optimization. Over the lifetime, 113 publications have been published receiving 352 citations.
Topics: Multi-swarm optimization, Particle swarm optimization, Finite element method, Open-loop controller, Imperialist competitive algorithm
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Journal Article•
TL;DR: The simulation results show that the presented algorithm can ensure the colony diversity and improve the performances of ABC.
Abstract: To overcome the shortcoming of poor diversity of Artificial Bee Colony(ABC)algorithm,this paper presents a modified Artificial Bee Colony algorithm.Unlike ABC in which onlooker bees choose employed bees from the colony according to proportional fitness choosing strategy,in MABC,in order to decrease the selection pressure and further improve the diversity,it does not set onlooker bees,as a result of no selection pressure on employed bees(solutions).The simulation results show that the presented algorithm can ensure the colony diversity and improve the performances of ABC.
162 citations
Journal Article•
TL;DR: In this article, the fractional integral function, fractional differential function and their fundamental properties are studied in the context of Weierstrass functions and their integration and differentiation are further discussed.
Abstract: The fractional integral function,fractional differential function and their fundamental properties are studied in this paper.Based on the above properties,the fractional integration and fractional differentiation of a Weierstrass function are further discussed.
13 citations
Journal Article•
TL;DR: In this article, a new practical iterative criterion for H-matrices is given, and its effectiveness is proved by examples, which needs less iteration, and is successful in a larger scale.
Abstract: In this paper,a new practical iterative criterion for H-matrices is given,and its effectiveness is proved by examples.The method needs less iteration,and is successful in a larger scale.
10 citations
Journal Article•
TL;DR: The simulation to 0-1 Knapsack Problem proves that ABC is superior to Ant Colony Algorithm.
Abstract: Artificial Bee Colony Algorithm(ABC) is a new kind of heuristic algorithmBy simulating natural bee colony foraging process,this algorithm can solve practical problemsIn this algorithm,every bee can be regarded as an agentThese agents can search and optimize the objectives efficiently by mutual cooperationA general approach of Artificial Bee Colony Algorithm to solve combinatorial optimization problems has been presentedThe simulation to 0-1 Knapsack Problem proves that ABC is superior to Ant Colony Algorithm
10 citations
Journal Article•
TL;DR: The application of Internet of things in facility agriculture has been analyzed from three aspects, which are the application layer, sensing layer and network layer, and the facility agriculture format under the development of internet of things was discussed.
Abstract: For the low intelligent degree of the traditional control technology,the monitoring and control on environment has become the role question of the facility agriculture,the appearance of Internet of things provides an efficient solution for the improvement of facility agriculture automation.The application of Internet of things in facility agriculture has been analyzed from three aspects,which are the application layer,sensing layer and network layer.Then the network framework and software framework were explained.Finally,the facility agriculture format under the development of Internet of things was discussed.
5 citations