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Ant Lion Optimization Algorithm by Modestus O. Okwu; Lagouge K. Tartibu is a book available to read on EtoBox.
What is Ant Lion Optimization Algorithm about?
Ant lion optimization (ALO) is an innovative optimization technique inspired by nature and was first proposed by [1]. The ALO algorithm as a biomimicry replicates the hunting pattern of the ant lions in a real-life scenario. Following the hunting nature of an ant lion to develop the algorithm is a five-step process. Ant lion has five main strategies of hunting prey. The first process often implemented by an ant lion is the random walk technique of the ants. The second has to do with the process of building traps for prey. The third process is the technique of stinging and entrapment of ants in traps. The fourth process has to do with holding down or catching prey and the last is the re-building of traps to hunt down prey. Strong and robust mathematical equations of the ALO has been developed by mimicking the behavior of the ALO in real life. This is very useful for solving problems in a diverse area of human life. The life cycle of the ant lion is shown in Fig. 9.1. Ant Lion Optimizer (ALO) can be used to solve NP-hard problems, combinatorial optimization problems like scheduling problems, transportation and transshipment problems, and other path planning problems. Ant lion algorit
- Author
- Modestus O. Okwu; Lagouge K. Tartibu
- Publisher
- Springer International Publishing AG
- Published
- 2020
- Language
- EN
- ISBN
- 9783030611101
- Subjects
- Engineering, Computer Science, Science
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