Educational Strategy Combining Technological Capacity and Ant Colony Algorithm to Improve the Ideal Dispatch Using Wind Energy

2021 ◽  
pp. 553-564
Author(s):  
Neider Duan Barbosa Castro ◽  
Jhon Alexander Hernández Martin ◽  
Fabiola Sáenz Blanco ◽  
Evy Fernanda Tapias Forero
Keyword(s):  
Wind Energy ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Educational Strategy ◽  
Technological Capacity ◽  
The Ideal

scholarly journals Application of improved intelligent ant colony algorithm in protein folding prediction

2020 ◽  
Vol 14 ◽  
pp. 174830262094141
Author(s):  
Fengjuan Wang ◽  
Cheng Xu ◽  
Shufeng Jiang ◽  
Fengxia Xu
Keyword(s):  
Protein Folding ◽  
Protein Structure ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Prediction Problem ◽  
Intelligent Algorithms ◽  
Advantages And Disadvantages ◽  
Swarm Algorithm ◽  
Swarm Intelligence Algorithm ◽  
The Ideal

While the single ant colony algorithm and the fish swarm algorithm have many advantages, they also have various shortcomings. After analyzing the advantages and disadvantages of the ant colony algorithm and the fish swarm algorithm, this paper uses the complementary principle of the two algorithms to effectively fuse the two population intelligent algorithms. The improved swarm intelligence algorithm is applied to the well-considered protein folding prediction problem, and the simplified protein structure Toy model is verified, and the ideal results are obtained. The improved algorithm enhances the search ability, and the computational efficiency is greatly improved, ensuring the accuracy of the operation.

Scheduling Based on an Ant Colony Algorithm with Crossover Operator

2014 ◽  
Vol 678 ◽  
pp. 47-50
Author(s):  
Qi Li ◽  
Wei Ba ◽  
Jia Lin Liu
Keyword(s):  
Quality Index ◽  
Ant Colony Algorithm ◽  
Global Search ◽  
Convergence Speed ◽  
Ant Colony ◽  
Crossover Operator ◽  
Maximum Profit ◽  
Simulation Results ◽  
The Ideal

An ant colony algorithm with crossover operator was presented in this paper. The new algorithm introduced crossover operator into the ant colony algorithm and improved the global search ability. In the process of local searching, the new algorithm applied the Hooke-Jeeves algorithm to improve the performance of the convergence speed. Gasoline blending is a key process as the blending recipe determined the profits in refineries. The proposed algorithm is applied to solve this problem, the simulation results show that the ideal blending recipes can be found and the maximum profit can be got with a little margin of quality index in gasoline blending.

Data association method of SLAM based on ant colony algorithm

2009 ◽  
Vol 29 (1) ◽  
pp. 136-138 ◽  
Author(s):  
Wen-jing ZENG ◽  
Tie-dong ZHANG ◽  
Yu-ru XU ◽  
Da-peng JIANG
Keyword(s):  
Ant Colony Algorithm ◽  
Data Association ◽  
Ant Colony ◽  
Association Method
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