A perturb biogeography based optimization with mutation for global numerical optimization

DOI10.1016/j.amc.2011.05.110zbMath1226.65055OpenAlexW2076398488MaRDI QIDQ720655

Junping Zhou, Minghao Yin, Xiangtao Li, Jinyan Wang

Publication date: 11 October 2011

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

Full work available at URL: https://doi.org/10.1016/j.amc.2011.05.110

zbMATH Keywords

numerical examplesexploitationexplorationglobal numerical optimizationbiogeography based optimizationevolutionary optimization algorithmGaussian mutation operatorperturb opertor

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26)

Related Items (11)

Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning ⋮ An ensemble method for high-dimensional multilabel data ⋮ Structural attack to anonymous graph of social networks ⋮ A new swarm intelligence approach for clustering based on krill herd with elitism strategy ⋮ 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 ⋮ Simulated annealing-based krill herd algorithm for global optimization ⋮ Improved biogeography-based optimization with random ring topology and Powell's method ⋮ Novel biogeography-based optimization algorithm with hybrid migration and global-best Gaussian mutation ⋮ Modified chemical reaction optimization and its application in engineering problems ⋮ Composite differential search algorithm

Uses Software

• JADE

Cites Work

• Unnamed Item
• Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)
• Multi-strategy ensemble particle swarm optimization for dynamic optimization
• Adaptive differential evolution algorithm for multiobjective optimization problems
• A real-coded biogeography-based optimization with mutation
• An analysis of the equilibrium of migration models for biogeography-based optimization
• Genetic algorithms in constrained optimization
• A study of particle swarm optimization particle trajectories
• Hybrid estimation of distribution algorithm for global optimization
• Branch-and-Bound Methods: A Survey
• On the Theory of Dynamic Programming
• Handbook of metaheuristics

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