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81
European Pepper Moth or Southern European Marsh Pyralid Duponchelia fovealis (Zeller)
Published 2012-01-01“…Recent survey detected adults in pheromone traps in 20 of the 26 Florida counties surveyed. …”
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82
Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging
Published 2014-01-01“…We design a continuous domain optimization algorithm based on the model and give the form of solution for the algorithm, the distribution model of pheromone, the update rules of ant colony position, and the processing method of constraint condition. …”
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83
Ant based approach to the optimal deployment in wireless sensor networks
Published 2009-01-01“…Targeting to solve the scalability problem when use initial ant based approach to apply to sensor node deployment, the greedy scheme, additional pheromone evaporation methods were used. The most attractive ability of Easidesign is that it not only consider the different sink position but also guarantee the wholly connectivity between sink node and deployed sensor nodes. …”
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84
Citrus peelminer Marmara gulosa Guillèn and Davis (Insecta: Lepidoptera: Gracillariidae)
Published 2013-04-01“…Recent evaluations of an experimental pheromone lure that is still under development by researchers at the University of California, Riverside have confirmed captures of citrus peelminer (Marmara sp.) in Polk County, Florida. …”
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85
Research of the Path Planning of Mobile Robot based on Improved Ant Colony Algorithm
Published 2016-01-01“…Based on this,the traditional ant colony algorithm is improved,and the local robot path information is introduced into the initialization of ant colony pheromone and the probability of path selection,which improves the convergence speed of ant colony algorithm and prevents premature. …”
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86
Citrus peelminer Marmara gulosa Guillèn and Davis (Insecta: Lepidoptera: Gracillariidae)
Published 2013-04-01“…Recent evaluations of an experimental pheromone lure that is still under development by researchers at the University of California, Riverside have confirmed captures of citrus peelminer (Marmara sp.) in Polk County, Florida. …”
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87
Resource scheduling algorithm of satellite communication system for future multi-beam dense networking
Published 2021-04-01“…The resource scheduling problem of satellite communication systems under the condition of high-dynamic and resource limitation was studied.A resource scheduling model for satellite communication systems was established based on time window, energy consumption, number of channels, user priority and task suddenness.Considering the disadvantages of slow initial search speed and weak local search ability, the improved ant colony algorithm based on construction of initial solution set and extra pheromone deposition was proposed to solve the resource scheduling problem.The optimization characteristics of the number of completed tasks, priority and scheduling completion time were simulated and analyzed.The results show that the algorithm has a fast convergence rate.Compared with the same type optimization algorithm, the algorithm has high scheduling efficiency, therefore, it is suitable for scheduling satellite communication system resources for multi-beam dense networking in the future.…”
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88
Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm
Published 2020-01-01“…The core is to adopt an adaptive volatilization coefficient and dynamic pheromone update strategy for the basic ant colony algorithm. …”
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89
Energy optimization of ant colony algorithm in wireless sensor network
Published 2017-04-01“…Furthermore, in terms of probability selection of the nodes and the pheromone update, this algorithm focuses on the next hop node through the comparison of distance between the nodes and the residual energy, which ensures less possibility of nodes with low energy selected as the next hop. …”
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90
Wireworms in Florida Sugarcane
Published 2021-04-01“…Insecticides are not used for wireworm control in ratoon sugarcane. Pheromone traps are untested in Florida sugarcane for click beetles but have an important function in for both mass trapping and monitoring in other agricultural systems. …”
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91
Discovering the backbone network with a novel designed ant colony algorithm
Published 2020-11-01“…Forthe problem that in interactive network,the illegal and abnormal behaviors were becoming more hidden,moreover,the complex relation in real interactive network heightens the difficulty of detecting anomalous entities,an ant colony model was proposed for extracting the backbone network from the complex interactive network.The novel model simulated the relationships among entities based on the theory of path optimization,reduced the network size after quantifying the significance of each flow of information.Firstly,a strategy of initial location selection was proposed taking advantage of network centrality.Secondly,a novel path transfer mechanism was devised for the ant colony to fit the flow behavior of entities.Finally,an adaptive and dynamic pheromone update mechanism was designed for guiding the optimization of information flows.The experimental results show that the proposed model is superior to the traditional ant colony algorithm in both solving quality and solving performance,and has better coverage and accuracy than the greedy algorithm.…”
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92
Wireworms in Florida Sugarcane
Published 2021-04-01“…Insecticides are not used for wireworm control in ratoon sugarcane. Pheromone traps are untested in Florida sugarcane for click beetles but have an important function in for both mass trapping and monitoring in other agricultural systems. …”
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93
Task scheduling algorithm for system-wide information management based on multiple QoS constraints
Published 2019-07-01“…An ant colony optimization task scheduling algorithm based on multiple quality of service constraint (QoS-ACO) for SWIM was proposed.Focusing on the multiple quality of service (QoS) requirements for task requests completed in system-wide information management (SWIM),considering the task execution time,security and reliability factors,a new evaluate user satisfaction utility function and system task scheduling model were constructed.Using the QoS total utility evaluation function of SWIM service scheduling to update the pheromone of the ant colony algorithm.The simulation results show that under the same conditions,the QoS-ACO algorithm is better than the traditional Min-Min algorithm and particle swarm optimization (PSO) algorithm in terms of task completion time,security,reliability and quality of service total utility evaluation value,and it can ensure that the user's task scheduling quality of service requirements are met,and can better complete the scheduling tasks of the SWIM.…”
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94
The Inverse Solution Algorithm and Trajectory Error Analysis of Robotic Arm Based on MQACA-RBF Network
Published 2020-01-01“…In order to solve the problem that the quantum ant colony algorithm has low convergence precision and easy to fall into the local optimal solution in the inverse solution algorithm of the multifreedom robotic arm, improved measures such as 2-opt local optimization and maximum minimum pheromone limit and variation are adopted. By comparing the simulation results of the 6R robotic arm simulation results and the simulation results based on ACA, QACA, and RBF neural networks on the position and motion trajectory of the space point, the advantages in precision are obvious. …”
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95
Transcription factor-dependent regulatory networks of sexual reproduction in Fusarium graminearum
Published 2025-01-01“…In addition, knockout mutants of SUB1 produced excessive numbers of protoperithecia, wherein MAT genes and pheromone-related genes exhibited dysregulated expression. …”
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96
Research on Complex Multiconstraint Path Planning Based on ACA Hybrid Algorithm
Published 2022-01-01“…Make full advantage of the ACO algorithm and the artificial potential field algorithm to form the ACA hybrid algorithm, a pheromone heuristic function improvement method is proposed, and a control factor is introduced. …”
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97
Path Optimization in Robotic Welding of Plate Heat Exchangers: An Improved Ant Colony Approach
Published 2024-01-01“…To address the above issues, first of all, the article introduces the improved pheromone volatilization factor, which is adjustable based on iteration times in the ACA. …”
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98
Path planning algorithm for WCE with joint energy replenishment and data collection based on multi-objective optimization
Published 2018-10-01“…Considering limited energy of the wireless charging equipment (WCE) in wireless rechargeable sensor network,an energy replenishment strategy and a data collection strategy are designed.On the basis of these,a path planning model for WCE with functions of joint energy replenishment and data collection based on multi-objective optimization is constructed with two optimization objectives,maximizing the total energy utility of WCE and minimizing the average delay of data transmission of all the sensor nodes in the network.To deal with it,a multi-objective ant colony optimization algorithm based on elitist strategy was proposed,where the state transition strategy and the pheromone updating strategy were improved.Then,the Pareto set was obtained in terms of this multi-objective optimization problem.The parameter setting of ant colony algorithm’s effects on the proposed algorithm were analyzed under 20 sensor nodes.50 groups of contrastive experiments show that the average number of energy utilization obtained by ES-MOAC algorithm is 4.53% higher than that of NSGA-II algorithm.The average number of average delay of all node data transmission obtained by ES-MOAC algorithm is 5.12% lower than that of NSGA-II algorithm.…”
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99
Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets
Published 2024-01-01“…The simulation results show that the task execution efficiency indexes of the proposed scheme for the decision input solution model, pheromone update mechanism, and optimization algorithm are improved by 188%, 72%, and 102%, respectively, and the overall performance is improved by 227%.…”
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100
Prediction of Ammunition Storage Reliability Based on Improved Ant Colony Algorithm and BP Neural Network
Published 2019-01-01“…The improved three-stage pheromone updating strategies solve two problems of ant colony algorithm: local minimum and slow convergence. …”
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