Results 41 to 50 of about 79,553 (259)

A Framework of Ant Colony P System

IEEE Access, 2019
Ant colony algorithm is a swarm intelligence population-based algorithm, which is inspired from the foraging behavior of ant colonies. Nowadays, the ant colony algorithm has become a very popular topic, and has been widely used in many fields.
Yueguo Luo, Ping Guo, Mingzhe Zhang
doaj   +1 more source

Cold Chain Logistics Path Optimization via Improved Multi-Objective Ant Colony Algorithm

IEEE Access, 2020
In order to improve the performance and change the current situation of the cost minimization model widely used in the cold chain logistics distribution process, a multi-objective optimization model based on cost, carbon emissions and customer ...
Banglei Zhao, Haixia Gui, Huizong Li, Jingmei Xue   +3 more
semanticscholar   +1 more source

Research on UAV route planning based on adaptive polymorphic ant colony algorithm

Journal of Hebei University of Science and Technology, 2019
Aiming at the problem of traditional UAV trajectory planning which falls into local optimum easily, and the problem of UAV trajectory planning in complex terrain, a trajectory planning method based on adaptive polymorphic fusion ant colony algorithm is ...
Ran ZHEN, Chunyue ZHANG, Yang JIAO, Xueli WU   +3 more
doaj   +1 more source

Local Field Potential‐Based Programming: A Proof‐of‐Concept Pilot Study

Neuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Objectives Programming deep brain stimulation (DBS) is still based on a trial‐and‐error approach, often becoming a time‐consuming process for both treating physicians and patients. Several strategies have been proposed to streamline DBS programming, most of which are preliminary and mainly address Parkinson's disease, a condition readily ...
Alfonso Fasano, Carolina Gorodetsky, Darcia Paul, Jürgen Germann, Aaron Loh, Han Yan, Peter L. Carlen, Sara Breitbart, Andres M. Lozano, George M. Ibrahim, Suneil K. Kalia   +10 more
wiley   +1 more source

Multi-Colony Ant Algorithm

, 2011
The first ant colony optimization (ACO) called ant system was inspired through studying of the behavior of ants in 1991 by Macro Dorigo and co-workers [1]. An ant colony is highly organized, in which one interacting with others through pheromone in perfect harmony. Optimization problems can be solved through simulating ant’s behaviors.
Chen, Enxiu, Liu, Xiyu
openaire   +3 more sources

Antarctic Sea ice distribution detection based on improved ant colony algorithm

Frontiers in Marine Science
The changes in the Antarctic sea ice area are directly related to the changes in the atmosphere and oceans. Determining the Antarctic sea ice distribution is of great significance to the global climate change analysis.
Xingdong Wang, Xingdong Wang, Xingdong Wang, Zehao Sun, Zehao Sun   +4 more
doaj   +1 more source

Path planning of multiple UAVs using MMACO and DE algorithm in dynamic environment

Measurement + Control, 2023
Cooperative path planning of multiple unmanned aerial vehicles is a complex task. The collision avoidance and coordination between multiple unmanned aerial vehicles is a global optimal issue.
Zain Anwar Ali, Han Zhangang, Di Zhengru
doaj   +1 more source

Improved Ant Colony Algorithm for Network Flow Scheduling in SDN Data Center

Journal of Harbin University of Science and Technology, 2022
At present, in the software defined data center network, the flow scheduling strategy based on ant colony algorithm has the disadvantages of too slow convergence and search stagnation in path selection, which easily leads to the problems of excessively ...
ZHU Su-xia, LONG Yi-fei, SUN Guang-lu, LI Chun-feng   +3 more
doaj   +1 more source

An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem

IEEE Access, 2019
In this paper, an improved ant colony optimization(ICMPACO) algorithm based on the multi-population strategy, co-evolution mechanism, pheromone updating strategy, and pheromone diffusion mechanism is proposed to balance the convergence speed and solution
Wu Deng, Junjie Xu, Huimin Zhao
semanticscholar   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source