Results 41 to 50 of about 40,576 (238)
An Improved Ant Colony Model for Cost Optimization of Composite Beams
Applied Artificial Intelligence, 2017 This paper focused on the application and evaluation of an improved ant colony search method for the cost optimization of composite beams. The design was based on the American Institute of Steel Construction load and resistance factor design ...
Tahereh Korouzhdeh +2 more
doaj +1 more source
Analytical Chemometrics Research Based on Artificial Intelligence Algorithm
Chemical Engineering Transactions, 2018 This paper conducted analytical chemometrics research based on artificial intelligence algorithms. It combined the Ant Colony Optimization (ACO) with the fuzzy clustering to perform clustering twice to determine the hidden layer nodes of the radial basis
Guohua Zou
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Fuzzy Expert Ants to speed up big TSP Problems using ACS [PDF]
, 2014 Ant colony algorithms are a group of heuristic optimization algorithms that have been inspired by behavior of real ants foraging for food. In these algorithms some simple agents (i.e.
Abdali Mohammadi, Fardin +1 more
core +4 more sources
Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
, 2014 Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B., Salama, Khalid M.
core +1 more source
VLSI PARTITIONING ALGORITHM WITH ADAPTIVE CONTROL PARAMETER [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2013 The article deals with the problem of very large-scale integration circuit partitioning. A graph is selected as a mathematical model describing integrated circuit.
P. N. Filippenko
doaj
Frontiers in Plant Science, 2022 The complex environments and weak infrastructure constructions of hilly mountainous areas complicate the effective path planning for plant protection operations. Therefore, with the aim of improving the current status of complicated tea plant protections
Yangyang Liu +7 more
doaj +1 more source
Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments [PDF]
, 2014 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Dynamic optimization problems (DOPs) have been a major challenge for ant colony optimization (ACO ...
Mavrovouniotis, Michalis +1 more
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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 +5 more
wiley +1 more source
A Model for Planning TELCO Work-Field Activities Enabled by Genetic and Ant Colony Algorithms.
International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Telecommunication Company’s (TELCO) are continuously delivering their efforts on the effectiveness of their daily work. Planning the activities for their workers is a crucial sensitive, and time-consuming task usually taken by experts. This plan aims to
João Henriques, Filipe Caldeira
doaj +1 more source
Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner [PDF]
, 2013 Ant-Miner is a classification rule discovery algorithm that is based on Ant Colony Optimization (ACO) meta-heuristic. cAnt-Miner is the extended version of the algorithm that handles continuous attributes on-the-fly during the rule construction process ...
Otero, Fernando E.B., Salama, Khalid M.
core +1 more source