The Multi-Site Joint Operation Method Based on Discharge Gate Ant Colony Algorithm

2014 ◽  
Vol 721 ◽  
pp. 539-542
Author(s):  
Cong Cong Liu ◽  
Yi Cai He ◽  
Chang Peng An
Keyword(s):  
Objective Function ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Operating Costs ◽  
Joint Operation ◽  
Function Model ◽  
Target Weight ◽  
Actual Operation ◽  
The Right ◽  
Improved Ant Colony Algorithm

From the actual operation of the lock, respectively, with the objections to maximize utilization of the average chamber area and minimize average opening time and the product of the weight of the ship and minimize lock operating costs, it can make the use of AHP calculate the right target weight, so as to establish a multi-objective function model. Based on the constraints of each objection, it can be used improved ant colony algorithm for multi-site on the same river ship Joint operation, using MATLAB software for solving scheduling simulation, the results shows that the utilization and lock navigable levels have significantly improved . It proved this method can be used to optimize multi-site joint scheduling.

Dual Objective Multidimensional Parameter Optimization of Cam Curve Based on Improved Ant Colony Algorithm

2014 ◽  
Vol 1037 ◽  
pp. 357-362
Author(s):  
Zhen Jun He ◽  
Peng Xu ◽  
Jiang Xiao Liao
Keyword(s):  
Objective Function ◽  
Ant Colony Algorithm ◽  
Weight Coefficient ◽  
Ant Colony ◽  
Multidimensional Space ◽  
Profile Curve ◽  
Multi Objective ◽  
Cam Mechanism ◽  
Variable Weight ◽  
Improved Ant Colony Algorithm

By applying improved ant colony algorithm, this paper analyzed multi-objective design problem in optimal design of cam mechanism profile curve, which were then transformed into TSP problem, that is, multi-objective function minimization problem into TSP shortest path searching problem. For the multiple complex variables and target weight parameters in design, a concept of multidimensional space node in ant colony optimization path was proposed, converting multi-objective function with weight coefficient into a multidimensional space nodes (city).At the same time, improved ant colony algorithm, combined with genetic algorithm, was used to avoid optimization calculation falling into a locally optimal solution. Exemplified by dual objective function in cam mechanism profile curve design, this paper solved optimal value problem of dual objective optimization design involving the biggest fullness coefficient and minimum abrasion quantity of variable weight coefficient under the three-dimensional parameters n, m and w.

Global Path Planning Method for USV System Based on Improved Ant Colony Algorithm

2014 ◽  
Vol 568-570 ◽  
pp. 785-788 ◽  
Author(s):  
Chang Hui Song
Keyword(s):  
Path Planning ◽  
Ant Colony Algorithm ◽  
Main Idea ◽  
Planning Method ◽  
Ant Colony ◽  
Grid Environment ◽  
Environment Model ◽  
Global Path Planning ◽  
The Right ◽  
Improved Ant Colony Algorithm

An improved ant colony algorithm based grid environment model for global path planning method for USV was introduced. The main idea of the improved ant colony algorithm was distributing each ant route dynamically. When the active ant was selecting the next route, this algorithm program determined the nearest direction to the end point. There were many possible route points which were distributed artificially. Thereby, the probability for each ant to choose the right direction was increased. The simulating results demonstrate that the improved ant colony algorithm in this paper is very suitable for solving the question of global path planning for USV system in the complex oceanic environment where there are a lot of obstacles. At the same time, this method costs less time, and the path is very smooth.

Optimization of Spiral Drum Based on Improved Ant Colony Algorithm

2011 ◽  
Vol 403-408 ◽  
pp. 3022-3025
Author(s):  
Duan Yi Wang
Keyword(s):  
Objective Function ◽  
Optimization Model ◽  
Economic Benefit ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Loading Capacity ◽  
Matlab Software ◽  
Working Principle ◽  
Working Performance ◽  
Improved Ant Colony Algorithm

Spiral drum as the work device of sheer, plays an important role for working performance and economic benefit .By analyzing the working principle of ant colony algorithm and its deficiencies; it proposed an improved ant colony algorithm to realize the optimization of spiral drum. In the paper, optimization model is established with coal-loading capacity as the objective function, and it make use of Matlab software to realize optimization of spiral drum.

Path Planning and Replanning for Intelligent Robot Based on Improved Ant Colony Algorithm

2013 ◽  
Vol 390 ◽  
pp. 495-499 ◽  
Author(s):  
Bi Wei Tang ◽  
Zhan Xia Zhu ◽  
Qun Fang ◽  
Wei Hua Ma
Keyword(s):  
Path Planning ◽  
Objective Function ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Local Optimum ◽  
Intelligent Robot ◽  
Intelligent Robots ◽  
Simulation Results ◽  
Improved Ant Colony Algorithm ◽  
Self Adaptive

The effectiveness of path planning and path replanning for intelligent robot using improved ant colony algorithm is explored in this paper. For the purpose of avoiding falling into local optimum and preventing iterative stagnant, this paper describes a new algorithm named stochastic self-adaptive ant colony algorithm to improve the basic ant colony algorithm. Based on the improved ant colony algorithm, the approaches of path planning and path replanning are presented in this paper. Aiming at improving the speed of the algorithm and simplifying the objective function of traditional path planning, this paper presents a principle of eliminating the path nodes .Finally, some constrast emulators are designed.The simulation results proves that the improved ant colony algorithm has strong adaptability in intelligent robots path path planning and replanning.

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