An Improved Ant Colony Algorithm for Path Planning in One Scenic Area With Many Spots

Zhang, Wenbo; Gong, Xiaopeng; Han, Guangjie; Zhao, Yuntao

doi:10.1109/access.2017.2723892

Cited by 63 publications

(36 citation statements)

References 25 publications

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“…The power consumption of the central air conditioning fan is the most important part of the power consumption of the entire air conditioning unit, and it is also an important factor affecting the airside delivery efficiency of the central air conditioning unit . The fan of an air conditioning unit in a cool storage air conditioning system always maintains the power frequency operation, and the fan power consumption is maintained in a fixed range.…”

Section: Power Saving Optimization Methods Of Central Air Conditioningmentioning

confidence: 99%

Optimization analysis on the effect of operational power consumption for central air conditioning under cold storage regulation

Jiao

2019

Int Trans Electr Energ Syst

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Summary Owing to the large power consumption and poor indoor comfort of central air conditioning, controlling the central air conditioning for cool storage and analyzing the power saving optimization of the central air conditioning operation have become necessary. Therefore, a method of power saving optimization analysis based on an improved ant colony air conditioning system is proposed to solve the problem of power consumption. According to the characteristics of cold storage operation regulation, the power consumption of chilled water pumps and air conditioning fans were used to establish a model, and the influence of cold storage operation regulation on central air conditioning operation power consumption was analyzed. On this basis, the improved ant colony is used to optimize the power saving path, according to the factors affecting the power consumption of central air conditioning operation above, and the optimal operation of air conditioning and storage regulation was analyzed, and the power saving treatment of central air conditioning operation was completed. The experimental results show that when the method is adopted, power consumption can be reduced by 67 560 kWh for the entire year, the total consumption of the optimal working point is approximately 0.384 kW, and the power saving effect is better with certain advantages.

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Section: Power Saving Optimization Methods Of Central Air Conditioningmentioning

confidence: 99%

Optimization analysis on the effect of operational power consumption for central air conditioning under cold storage regulation

Jiao

2019

Int Trans Electr Energ Syst

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“…The ant colony algorithm is often used to conduct the path-finding analysis with the process 10 in which ants communicate by leaving synthetic pheromone when seeking from their nests to food resources (Zhang et al, 2017a). In this context, it is necessary to recognize that the various pixels are spatially interconnected in order to overcome the following typical computational issues in ant colony algorithm: (1) If each ant's movement is completely random, it can easily happen that one ant goes into an infinite loop in local optimal solution; (2) "No data" pixels may decrease the efficiency of ant colony algorithm to a large extent; and (3) As the active space of pheromone is discrete, it can be hard to determine the ecological corridors' borders.…”

Section: Ecological Corridor Identification Based On Mcr Ant Colony mentioning

confidence: 99%

“…The ant colony algorithm, proposed by Colorni et al (1991), can simulate the process that ants detect the optimal routes between their nests and nearby food resources (Bonabeau et al, 2000). More precisely, when ants are looking for optimal routes, they will leave the pheromone along the way to satisfy the demand for building continuous pathways (Li and Chan 2007;Zhang et al, 2017a). As the pheromone diffuses in space, it provides a quantitative support to spatially identify the range in which the information flow takes place.…”

Section: Introductionmentioning

confidence: 99%

Applying ant colony algorithm to identify ecological security patterns in megacities

Peng

Zhao

Dong

et al. 2019

Environmental Modelling & Software

197

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Ecological security patterns composed of ecological sources and corridors provide an effective approach to conserving natural ecosystems. Although the direction of ecological corridors have been identified in previous studies, the precise range remains unknown. To address this crucial gap, ant colony algorithm and kernel density estimation were applied to identify the range and restoration points of ecological corridors, which is important for natural conservation and ecological restoration. In this case study of Beijing City, ecological sources were identified based on habitat importance and landscape connectivity. The results showed that, in total 3119.65 km 2 of ecological land had been extracted as ecological sources, which were mainly located in the northern, northwestern and northeastern mountainous areas. The identified key ecological corridor covered an area of 198.86 km 2 , with 567.30 km 2 for potential ecological corridors, both connecting the ecological sources. 34 key points were also identified with priority in restoring ecological corridors.

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“…College of Electrics and Information, Xi'an Polytechnic University, Xi'an, China. 2 College of Communication and Information Engineer, Xi'an University of Science and Technology, Xi'an, China.…”

Section: Acknowledgementsmentioning

confidence: 99%

“…Autonomous navigation in an unknown environment should require that the robot finds a suitable, safe, smooth, and even optimal path from the starting point (position and attitude) to the end point (position and attitude). Researchers have performed a large amount of research, using artificial neural networks [1],ant colony algorithm [2], and so on combined with fuzzy logic to achieve understanding and rapid classification of current environmental perceptions, the artificial potential field method [3], behavior dynamics [4], Firefly algorithm [5], full coverage path planning algorithm [6], lidar acquisition data and RBPF-SLAM [7] to construct maps, and other methods to solve the autonomous navigation problem in unknown environments for global planning of the robot path or for a combination of global and local planning [8][9][10]. Researchers combine behavior dynamics and rolling windows to perform path planning [11,12]; the local sub-objective is optimized by using a heuristic function according to the local information in the rolling window obtained by the robot; the behavior dynamics model is used to perform autonomous path planning [13] in the rolling windows; and the planning trajectory of a series of windows is connected end to end to realize the global path planning.…”

Section: Introductionmentioning

confidence: 99%

Indoor robot path planning assisted by wireless network

Wang

Nie

Zhu

2019

J Wireless Com Network

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Indoor robot global path planning needs to complete the motion between the starting point and the target point according to robot position command transmitted by the wireless network. Behavior dynamics and rolling windows in global path planning methods have limitations in their applications because the path may not be optimal, there could be a pseudo attractor or blind search in an environment with a large state space, there could be an environment where offline learning is not applicable to real-time changes, or there could be a need to set the probability of selecting the robot action. To solve these problems, we propose a behavior dynamics and rolling windows approach to a path planning which is based on online reinforcement learning. It applies Q learning to optimize the behavior dynamics model parameters to improve the performance, behavior dynamics guides the learning process of Q learning and improves learning efficiency, and each round of intensive learning action selection knowledge is gradually corrected as the Q table is updated. The learning process is optimized. The simulation results show that this method has achieved remarkable improvement in path planning. And, in the actual experiment, the robot obtains the target location information by wireless network, and plans an optimized and smooth global path online.

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An Improved Ant Colony Algorithm for Path Planning in One Scenic Area With Many Spots

Cited by 63 publications

References 25 publications

Optimization analysis on the effect of operational power consumption for central air conditioning under cold storage regulation

Optimization analysis on the effect of operational power consumption for central air conditioning under cold storage regulation

Applying ant colony algorithm to identify ecological security patterns in megacities

Indoor robot path planning assisted by wireless network

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