Results 191 to 200 of about 8,500 (224)
Some of the next articles are maybe not open access.
2013
The ant colony optimization algorithm (ACO) is an evolutionary meta-heuristic algorithm based on a graph representation that has been applied successfully to solve various hard combinatorial optimization problems. Initially proposed by Marco Dorigo in 1992 in his PhD thesis [49], the main idea of ACO is to model the problem as the search for a minimum ...
Muhammet Ünal +3 more
openaire +1 more source
The ant colony optimization algorithm (ACO) is an evolutionary meta-heuristic algorithm based on a graph representation that has been applied successfully to solve various hard combinatorial optimization problems. Initially proposed by Marco Dorigo in 1992 in his PhD thesis [49], the main idea of ACO is to model the problem as the search for a minimum ...
Muhammet Ünal +3 more
openaire +1 more source
A survey on the utilization of Ant Colony Optimization (ACO) algorithm in WSN
2016 International Conference on Information Communication and Embedded Systems (ICICES), 2016Wireless Sensor Network (WSN) is a constrained network on the factor of energy. This factor leads the entire outcome of the network. So it is better to prefer a network on the basis of collaboration of energy. In order establish the communication of nodes under the particular selected network, the path should be selected.
G. Gajalakshmi, G. Umarani Srikanth
openaire +1 more source
OPTIMIZED WEIGHTS ON DCNN USING ANT COLONY OPTIMIZATION (ACO) METEHERUSTIC ALGORITHM
2023Deep Convolutional Neural Networks (DCNNs) have revolutionized computer vision tasks, but their training requires extensive computation and parameter tuning. This paper proposes a novel approach to optimize DCNN weights using the Ant Colony Optimization (ACO) met heuristic algorithm.
S Raghavi, P. Naveen, Dr. B Diwan
openaire +1 more source
The Journal of Supercomputing, 2017
In recent years, the use of compute-intensive coprocessors has been widely studied in the field of Parallel Computing to accelerate sequential processes through a Graphic Processing Unit (GPU). Intel has recently released a GPU-type coprocessor, the Intel Xeon Phi.
Felipe Tirado +3 more
openaire +1 more source
In recent years, the use of compute-intensive coprocessors has been widely studied in the field of Parallel Computing to accelerate sequential processes through a Graphic Processing Unit (GPU). Intel has recently released a GPU-type coprocessor, the Intel Xeon Phi.
Felipe Tirado +3 more
openaire +1 more source
Beam-ACO—hybridizing ant colony optimization with beam search: an application to open shop scheduling [PDF]
Computers and Operations Research, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Blum
exaly +2 more sources
ACO-IM: maximizing influence in social networks using ant colony optimization
Soft Computing, 2019Online social networks play an essential role in propagating information, innovation, and ideas via word-of-mouth spreading. This word-of-mouth phenomenon leads to a fundamental problem, known as influence maximization (IM) or subset selection problem. The IM problem aims to identify a small subset of users, viz.
Shashank Sheshar Singh +3 more
openaire +1 more source
Automatic image annotation using an ant colony optimization algorithm (ACO)
2016 IEEE 7th Power India International Conference (PIICON), 2016Automatic Image Annotation (AIA) for a large collection of images is one of the most challenging topics for researchers in the past years wherein, the important task for researchers is a region labelling, since the whole feature does not give useful information for each conception.
Kavita Akhilesh, R.R. Sedamkar
openaire +1 more source
Ant Colonies Optimization (ACO) for the solution of the Vehicle Routing Problem (VRP)
Journal of Information and Optimization Sciences, 2005Ant Colony Optimization is a relatively new class of meta-heuristic search techniques for hard optimization problems. There are numerous ACO including Ant System (AS), MAXMIN Ant Systems(MMAS) and Ant Colony System (ACS). In this paper our intention is to define and minimize the objective function of the vehicle routing problem, adjusting properly the ...
C. Fountas, A. Vlachos
openaire +1 more source
Clustering with K-Means Hybridization Ant Colony Optimization (K-ACO)
2022One of well-known techniques in data mining is clustering. Clustering method which is very popular is K-means cluster because its algorithm is very easy and simple. However, K-means cluster has some weaknesses, one of which is that the cluster result is sensitive towards centroid initialization so that the cluster result tends to local optimal.
openaire +1 more source
Modified Ant Colony Optimization (ACO) based routing protocol for MANET
2015 International Conference and Workshop on Computing and Communication (IEMCON), 2015A mobile ad-hoc network (MANET) is a collection of mobile nodes which communicate over radio. These kinds of networks are very flexible, thus they do not require any existing infrastructure or central administration. Therefore, mobile ad-hoc networks are suitable for temporary communication links.
Saptarshi Banerjee +3 more
openaire +1 more source