Abstract
The weeds are generally defined as the unwanted plants growing in an agricultural field. The weeds are not very useful and occupy the space in the field to successfully outnumber the plants that are cultivated for regular use. Thus, a popular agronomical belief is that “The Weeds Always Win”. Weeds typically generate large numbers of seeds, supporting their spread by wind or some other natural factors. They can also grow in adverse conditions and are very adaptable. These unique properties of weed growth shows the way for the development of optimization techniques. One of the algorithms motivated by this common phenomenon in agriculture field is based on the expansion of invasive weeds. The algorithm is known as Invasive Weed Optimization (IWO). In this chapter, we have described the IWO algorithm and its use in obtaining the optimal solution of common popular functions.
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Kumar, D., Gandhi, B.G.R., Bhattacharjya, R.K. (2020). Introduction to Invasive Weed Optimization Method. In: Bennis, F., Bhattacharjya, R. (eds) Nature-Inspired Methods for Metaheuristics Optimization. Modeling and Optimization in Science and Technologies, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-030-26458-1_12
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