Pages that link to "Item:Q356256"
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The following pages link to Multi-operator based biogeography based optimization with mutation for global numerical optimization (Q356256):
Displaying 15 items.
- Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning (Q336777) (← links)
- Ecogeography-based optimization: enhancing biogeography-based optimization with ecogeographic barriers and differentiations (Q337085) (← links)
- Structural attack to anonymous graph of social networks (Q460318) (← links)
- Drift analysis of mutation operations for biogeography-based optimization (Q521639) (← links)
- Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms (Q543817) (← links)
- A perturb biogeography based optimization with mutation for global numerical optimization (Q720655) (← links)
- Nash game based efficient global optimization for large-scale design problems (Q721150) (← links)
- A real-coded biogeography-based optimization with mutation (Q984295) (← links)
- An analysis of the equilibrium of migration models for biogeography-based optimization (Q991890) (← links)
- A new swarm intelligence approach for clustering based on krill herd with elitism strategy (Q1736727) (← links)
- Enhancing the performance of biogeography-based optimization using multitopology and quantitative orthogonal learning (Q1992491) (← links)
- Novel biogeography-based optimization algorithm with hybrid migration and global-best Gaussian mutation (Q2049745) (← links)
- Improved biogeography-based optimization with random ring topology and Powell's method (Q2284474) (← links)
- Composite differential search algorithm (Q2336310) (← links)
- A multi-objective optimization based on a hybrid biogeography-based optimization (Q2924399) (← links)
