Introduction of biogeography-based programming as a new algorithm for solving problems

DOI10.1016/J.AMC.2015.08.026zbMath1410.90264OpenAlexW1153997393MaRDI QIDQ670755

Emadaldin Mohammadi Golafshani

Publication date: 20 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.08.026

zbMATH Keywords

machine learningautomatic programmingbiogeography-based programming

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Genetics and epigenetics (92D10) Computational methods for problems pertaining to biology (92-08)

Cites Work

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• Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning
• Biogeography-based optimization for constrained optimization problems
• A perturb biogeography based optimization with mutation for global numerical optimization
• An analysis of the equilibrium of migration models for biogeography-based optimization
• Linear Genetic Programming
• A robust data mining approach for formulation of geotechnical engineering systems

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