2014 Second World Conference on Complex Systems (WCCS) 2014
DOI: 10.1109/icocs.2014.7060988
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Binary bat algorithm for graph coloring problem

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Cited by 8 publications
(5 citation statements)
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“…Additionally, we investigate what specific metaheuristics use these binarization techniques. The conclusion is that the Artificial bee colony Binary problems [96] Feature selection [95] Binary bat Graph coloring [143] Antenna positioning problem [87] most frequently used method is the transfer function, belonging to two-step binarization. Furthermore, we searched for what type of optimizations problems were resolved by the different techniques.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, we investigate what specific metaheuristics use these binarization techniques. The conclusion is that the Artificial bee colony Binary problems [96] Feature selection [95] Binary bat Graph coloring [143] Antenna positioning problem [87] most frequently used method is the transfer function, belonging to two-step binarization. Furthermore, we searched for what type of optimizations problems were resolved by the different techniques.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, the algorithm should be discretized. Nakamura [23] and Sabba [24] proposed a binary version of binary bat algorithm (BBA) to solve the problems of feature selection in pattern recognition and graph coloring. Among them, the key to converting continuous values into the binary is the introduction of the sigmoid function:…”
Section: Discrete Bat Algorithmmentioning
confidence: 99%
“…In paper [11], author has used the concept of parameter initialization but with the help of fuzzy logic and verified the result by providing optimum solution to inverted pendulum problem. In [12], author has chosen RLF algorithm for initialization and sigmoid function to represent continuous space in binary encoding, to solve the problem of graph coloring. By enhancing exploration and exploitation, dynamic virtual bat algorithm is developed by the author in [17] and results are verified using unimodal and multimodal functions.…”
Section: Related Workmentioning
confidence: 99%