2009 · 172 citations · 9 references
Natural SciencesDecision SciencesBiogeographyEvolutionary TheoryOptimizationEvolutionary ComputationEvolutionary OptimizationHeuristic OptimizationHeuristic SearchMetaheuristic OptimizationPopulation-based SearchEvolutionary AlgorithmsEvolutionary SearchGenetic Algorithms For SearchHeuristic AlgorithmsHybrid Evolutionary AlgorithmsMulti-objective Evolutionary ComputationPopulation-based Optimization
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.
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.
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Biogeography-Based Optimization
D. Simon · IEEE Transactions on Evolutionary Computation · 2008 · 4.3K citations
Evolution strategies – A comprehensive introduction
Hans-Georg Beyer, Hans–Paul Schwefel · Natural Computing · 2002 · 2.8K citations