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
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Ant Colony Based Hybrid Approach for Optimal Compromise Sum-Difference Patterns Synthesis [PDF]
, 2010 Dealing with the synthesis of monopulse array antennas, many stochastic optimization algorithms have been used for the solution of the so-called optimal compromise problem between sum and difference patterns when sub-arrayed feed networks are considered.
Manica, Luca +2 more
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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
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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.
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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
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An Approximate Algorithm Combining P Systems and Ant Colony Optimization for Traveling Salesman Problems [PDF]
, 2010 This paper proposes an approximate optimization algorithm combining P systems with ant colony optimization, called ACOPS, to solve traveling salesman prob- lems, which are well-known and extensively studied NP-complete combinatorial optimization ...
Cheng, Jixiang +2 more
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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.
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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.
João Henriques, Filipe Caldeira
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A grid-based ant colony algorithm for automatic 3D hose routing [PDF]
Ant Colony Algorithms applied to difficult combinatorial optimization problems such as the traveling salesman problem (TSP) and the quadratic assignment problem.
Fernando, WAC +2 more
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