Biogeography-based optimization combined with evolutionary strategy and immigration refusal

Dawei Du, Dan Simon, Mehmet Ergezer

2009 · 172 citations · 9 references

Concepts

TL;DR

Biogeography‑based optimization (BBO) is a recent heuristic algorithm that has performed well on many benchmark problems. The study aims to enhance BBO by integrating distinctive features from other successful heuristic algorithms. The authors modify BBO by adding evolutionary‑strategy components and a novel immigration‑refusal mechanism, then use F‑tests and T‑tests to compare the resulting variants.

Abstract

Biogeography-based optimization (BBO) is a recently developed heuristic algorithm which has shown impressive performance on many well known benchmarks. In order to improve BBO, this paper incorporates distinctive features from other successful heuristic algorithms into BBO. In this paper, features from evolutionary strategy (ES) are used for BBO modification. Also, a new immigration refusal approach is added to BBO. After the modification of BBO, F-tests and T-tests are used to demonstrate the differences between different implementations of BBOs.

References

9