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- W1585156612 abstract "The Artificial Bee Colony (ABC) is the name of an optimization algorithm that was inspired by the intelligent behavior of a honey bee swarm. It is widely recognized as a quick, reliable, and efficient methods for solving optimization problems. This paper proposes a hybrid ABC (HABC) algorithm for graph 3-coloring, which is a well-known discrete optimization problem. The results of HABC are compared with results of the well-known graph coloring algorithms of today, i.e., the Tabucol and Hybrid Evolutionary algorithm (HEA), and results of the traditional evolutionary algorithm with SAW method (EA-SAW). Extensive experimentations has shown that the HABC matched the competitive results of the best graph coloring algorithms, and did better than the traditional heuristics EA-SAW when solving equi-partite, flat, and random generated medium-sized graphs." @default.
- W1585156612 created "2016-06-24" @default.
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- W1585156612 date "2012-01-01" @default.
- W1585156612 modified "2023-10-14" @default.
- W1585156612 title "A Hybrid Artificial Bee Colony Algorithm for Graph 3-Coloring" @default.
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- W1585156612 doi "https://doi.org/10.1007/978-3-642-29353-5_8" @default.
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