Results 191 to 200 of about 44,920 (246)

Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm. [PDF]

PeerJ Comput Sci
Guo Q, Li R, Zheng C, Jeon G.
europepmc   +1 more source

A hybrid Spatial Ant Lion optimization and utilitarian data transmission approach for intelligent optimization for energy-efficient wireless sensor networks. [PDF]

Sci Rep
Sathyamoorthy M, Dhanaraj RK, Vanitha CN, Sayeed MS.   +3 more
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A hybrid ACO-random forest optimization framework for scalable microalgae biomass estimation using multispectral imaging. [PDF]

Environ Monit Assess
Kolawole KK, Abidin MSBZ, Kamaroddin MFB, Ramli MSAB, Mpuhus SL, Rizqi A.   +5 more
europepmc   +1 more source

Adaptive Model Predictive Control for 4WD-4WS Mobile Robot: A Multivariate Gaussian Mixture Model-Ant Colony Optimization for Robust Trajectory Tracking and Obstacle Avoidance. [PDF]

Sensors (Basel)
Ait Dahmad H, Ayad H, García Cerezo A, Mousannif H.   +3 more
europepmc   +1 more source

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Parallel Ant Colony Optimization Algorithm

2006 6th World Congress on Intelligent Control and Automation, 2006
Ant colony optimization algorithm is a good way to solve complex multi-stage decision problems. But the construction graph and computation steps for an ant to construct a solution in the construction graph will be exponentially increased, if the stage number and decision variable dimension of complex multi-stage decision problem are increasing. It will
null Hong Liu, null Ping Li, null Yu Wen
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Adaptive ant colony optimization algorithm

2014 International Conference on Mechatronics and Control (ICMC), 2014
An adaptive ant colony algorithm is proposed to overcome the premature convergence problem in the conventional ant colony algorithm. The adaptive ant colony is composed of three groups of ants: ordinary ants, abnormal ants and random ants. Each ordinary ant searches the path with the high concentration pheromone at the high probability, each abnormal ...
Gu Ping, Xiu Chunbo, Cheng Yi, Luo Jing, Li Yanqing   +4 more
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Fuzzy-based ant colony optimization algorithm

2010 2nd International Conference on Computer Technology and Development, 2010
Real world problems don't always come with sufficient, complete, and precise data; classical algorithms are facing some limitations like inefficiency of handling imprecise data or uncertain information. Therefore there is a need for finding powerful techniques to handle such situations.
Assem A. Alsawy, Hesham A. Hefny
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Network optimization using ant colony algorithm

2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016
Computer network plays vital role in our day to day life's critical issues such as hospitals, fire brigade, military. The errors or failures in such computer network create significant loss. These failures or errors should be taken into account while designing a computer network.
Mamta Munge, Handore Shubhangi
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Ant Colony Optimization based scheduling algorithm

2013 International Conference on Open Source Systems and Technologies, 2013
Scheduling of processes has a significant effect in overall system performance. Moreover, scheduling of n-processes to optimize certain objective is a well-known NP hard problem. This paper presents a scheduling algorithm for n-processes based on Ant Colony Optimization (ACO) technique.
Fariha Nosheen, Sadia Bibi, Salabat Khan
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Riverview on ant colony optimization algorithms

World Journal of Engineering, 2013
Ant colony algorithm is widely used in recent years as a heuristic algorithm. It provides a new way to solve complicated combinatorial optimization problems. Having been enlightened by the behavior of ant colony's searching for food, positive feedback construction and distributed computing combined with certain heuristics are adopted in the algorithm ...
Yancang Li, Chenguang Ban, Rouya Li
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