Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning

DOI10.1016/j.cor.2013.07.021zbMath1348.90649OpenAlexW2033570351MaRDI QIDQ336777

Guojiang Xiong, Xianzhong Duan, Dongyuan Shi

Publication date: 10 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2013.07.021

zbMATH Keywords

orthogonal learningbiogeography-based optimizationglobal numerical optimizationorthogonal experimental design (OED)polyphyletic migration operator

Mathematics Subject Classification ID

Abstract computational complexity for mathematical programming problems (90C60) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (8)

Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization ⋮ Probabilistic properties of fitness-based quasi-reflection in evolutionary algorithms ⋮ Introduction of biogeography-based programming as a new algorithm for solving problems ⋮ Enhancing the performance of biogeography-based optimization using multitopology and quantitative orthogonal learning ⋮ Nash game based efficient global optimization for large-scale design problems ⋮ Improved biogeography-based optimization with random ring topology and Powell's method ⋮ Orthogonal learning harmonizing mutation-based fruit fly-inspired optimizers ⋮ A hybrid grey based Kohonen model and biogeography-based optimization for project portfolio selection

Uses Software

• ABC

Cites Work

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