Results 31 to 40 of about 8,500 (224)
IEEE Access, 2020 Technical advancement has propelled the proliferation of unmanned vehicles. Out of the multiple paths between origin (O) and destination (D), the optimal O-D path should be selected in the light of travel distance, travel time, fuel cost and pollutant ...
Qi Song +4 more
doaj +1 more source
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. +3 more
core +1 more source
Discovering Regression Rules with Ant Colony Optimization [PDF]
, 2015 The majority of Ant Colony Optimization (ACO) algorithms for data mining have dealt with classification or clustering problems. Regression remains an unexplored research area to the best of our knowledge.
Brookhouse, James +3 more
core +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
doaj +1 more source
Continuous function optimization using hybrid ant colony approach with orthogonal design scheme [PDF]
, 2006 A hybrid Orthogonal Scheme Ant Colony Optimization (OSACO) algorithm for continuous function optimization (CFO) is presented in this paper. The methodology integrates the advantages of Ant Colony Optimization (ACO) and Orthogonal Design Scheme (ODS ...
Jun Zhang +9 more
core +1 more source
Opposition-Based Ant Colony Optimization Algorithm for the Traveling Salesman Problem
Mathematics, 2020 Opposition-based learning (OBL) has been widely used to improve many swarm intelligent optimization (SI) algorithms for continuous problems during the past few decades.
Zhaojun Zhang +4 more
doaj +1 more source
Inducing decision trees with an ant colony optimization algorithm [PDF]
, 2012 Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B. +2 more
core +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. +3 more
core +1 more source
Ant Colony Optimization (ACO) for Short Route Calculation
, 2022 This study was anchored on the development of a Mobile Application that would determine the shortest route and to provide an ideal solution with short path route calculations using a more well-matched and complex algorithm, some modern techniques, and diverse variants of problems in VRPs.
openaire +2 more sources
A Navigation Satellites Selection Method Based on ACO With Polarized Feedback
IEEE Access, 2020 Selecting the optimal satellite subset for positioning from all satellites in view can not only achieve positioning accuracy but also reduce the computational burden.
Huazheng Du +5 more
doaj +1 more source