Biography based optimization meaning

His research focuses on computer vision and robotics. Publisher : Springer Singapore. Edition Number : 1. Number of Pages : XI, Policies and ethics. Skip to main content. Home Book. View author publications. Access this book Log in via an institution. Softcover Book EUR This is a preview of subscription content, log in via an institution to check access.

Institutional subscriptions. Beyer HG The theory of evolution strategies. Google Scholar. Bi X, Wang J Constrained optimization based on epsilon constrained biogeography-based optimization. In: International conference on intelligent human-machine systems and cybernetics, pp — Sys Eng Electron — Cai Z, Wang Y A multiobjective optimization-based evolutionary algorithm for constrained optimization.

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The features that determine are called suitability index variables SIVs.

Biography based optimization meaning

Islands with a high HSI have many species that emigrate to nearby habitats because of the large populations and the large numbers of species that they host. Note that emigration from an island with a high HSI does not occur because species want to leave their home; after all, their home island is an attractive place to live. Emigration occurs because of the accumulation of random effects on a large number of species with large populations.

Emigration occurs as animals ride flotsamswim, fly, or ride the wind to neighboring islands. When a species emigrates from an island, it does not mean that the species completely disappears from its original island; only a few representatives emigrate, so an emigrating species remains present on its original island while at the same time migrating to a neighboring island.

However, in BBO it is assumed that emigration from an island results in extinction from that island. This assumption is necessary in BBO because species represent the independent variables of a function, and each island represents a candidate solution to a function optimization problem. Islands with a high HSI not only have a high emigration rate, but they also have a low immigration rate because they already support many species.

Species that migrate to such islands will tend to die in biography based optimization meaning of the island's high HSI, because there is too much competition for resources from other species. Islands with a low HSI have a high immigration rate because of their low populations. Again, this is not because species want to immigrate to such islands; after all, these islands are undesirable places to live.

The reason that immigration occurs to these islands is because there is a lot of room for additional species. Whether or not the immigrating species can survive in its new home, and for how long, is another question. The figure on the right illustrates an island migration model. As the number of species increases, the island becomes more crowded, fewer species are able to survive immigration, and the immigration rate decreases.

If there are no species on the island, then the emigration rate is zero. As the number of species on the island increases, it becomes more crowded, more species representatives are able to leave the island, and the emigration rate increases. This is usually performed using roulette wheel selection. BBO has been extended to noisy functions that is, functions whose fitness evaluation is corrupted by noise ; [ 21 ] constrained functions; [ 22 ] combinatorial functions; [ 23 ] and multi-objective functions.

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