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Titlebook: Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms; Bo Xing,Wen-Jing Gao Book 2014 Springer International Publi

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Teaching–Learning-based Optimization Algorithm behaviour. We first describe the general knowledge of the teacher-student relationships in .. Then, the fundamentals and performance of TLBO algorithm are introduced in .. Finally, . summarises this chapter.
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Biogeography-based Optimization AlgorithmIn this chapter, we introduce a novel optimization algorithm called biogeography-based optimization (BBO) which is inspired by the science of biogeography. We first describe the general knowledge of the science of biogeography in .. Then, the fundamentals and performance of BBO are introduced in .. Finally, . summarises this chapter.
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Fruit Fly Optimization AlgorithmIn this chapter, we present a novel optimization algorithm called fruit fly optimization algorithm (FFOA) which is inspired by the behaviour of fruit flies. We first describe the general knowledge of the foraging behaviour of fruit flies in .. Then, the fundamentals and performance of FFOA are introduced in .. Finally, . summarises this chapter.
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Invasive Weed Optimization AlgorithmIn this chapter, we present an interesting algorithm called invasive weed optimization (IWO) which is inspired from colonizing weeds. We first describe the general knowledge of the biological invasion in .. Then, the fundamentals and performance of IWO are introduced in .. Finally, . summarises this chapter.
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https://doi.org/10.1007/978-3-319-03404-1Combinatorial Optimization; Communication; Evolution; Nature-Inspired Algorithms; Social Behaviour; Swarm
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1868-4394 late the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book‘s straightforward, self-contained style will also appeal to a wid978-3-319-34930-5978-3-319-03404-1Series ISSN 1868-4394 Series E-ISSN 1868-4408
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