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Web page classification with an ant colony algorithm [PDF]
This paper utilizes Ant-Miner - the first Ant Colony algorithm for discovering classification rules - in the field of web content mining, and shows that it is more effective than C5.0 in two sets of BBC and Yahoo web pages used in our experiments.
Holden, Nicholas +3 more
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Invasive ants are some of the most destructive species in ecosystems and can have serious ecological and socioeconomic impacts. The little fire ant, Wasmannia auropunctata, is native to Central and South America and was listed as one of the 100 most ...
Mengfei Mao +4 more
doaj +1 more source
A New Version of the Ant-Miner Algorithm Discovering Unordered Rule Sets [PDF]
The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered list of classification rules.
James Smaldon +3 more
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The relationship between Solenopsis invicta nest density and the number of fire ant workers in bait traps and percentages of traps capturing ants were investigated in the waste land of Wuchuan, Guangdong, South China.
Yongyue Lu +4 more
doaj +1 more source
Ant species identity mediates reproductive traits and allocation in an ant-garden bromeliad [PDF]
Background and Aims Determining the sources of variation in floral morphology is crucial to understanding the mechanisms underlying Angiosperm evolution.
Alain Dejean +12 more
core +1 more source
Prey Status Affects Paralysis Investment in the Ponerine Ant Harpegnathos venator
The paralysis behavior of some ponerine ants when foraging may be important for food storage and colony development. However, how workers invest in paralysis under different prey circumstances is often overlooked.
Lei Nie +6 more
doaj +1 more source
APPLYING ANT COLONY OPTIMIZATION ALGORITHM TO SOLVE GEAR BOX DESIGN [PDF]
In this paper, we present the ant colony optimization algorithm (ACO for short), which was used to solve gear box problem design. Biological fundamentals of ACO algorithm, as well as method explanation are presented.
Branislav Milenkovic +2 more
doaj +1 more source
Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
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

