Pages that link to "Item:Q2924399"
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The following pages link to A multi-objective optimization based on a hybrid biogeography-based optimization (Q2924399):
Displaying 14 items.
- Multi-operator based biogeography based optimization with mutation for global numerical optimization (Q356256) (← links)
- Complex system optimization using biogeography-based optimization (Q473674) (← links)
- Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO) (Q632652) (← links)
- P systems based multi-objective optimization algorithm (Q952206) (← links)
- A multiobjective optimization algorithm based on discrete bacterial colony chemotaxis (Q1718674) (← links)
- Multi-objective optimization by learning automata (Q1941020) (← links)
- Multiobjective big data optimization based on a hybrid salp swarm algorithm and differential evolution (Q1989018) (← links)
- An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems (Q2160426) (← links)
- A novel coupling algorithm based on glowworm swarm optimization and bacterial foraging algorithm for solving multi-objective optimization problems (Q2312428) (← links)
- Multi-objective optimization of spatial sampling using a new hybrid AMOSA\_NSGA-II algorithm (Q2685203) (← links)
- Multi-objective bio-inspired optimization algorithm based on a P system (Q2984001) (← links)
- Species-based genetic algorithm for multiobjective optimization problems (Q2990820) (← links)
- A multi-objective hybrid optimization algorithm based on parallel chaos and harmony search (Q4688337) (← links)
- A hybrid of Bayesian-based global search with Hooke–Jeeves local refinement for multi-objective optimization problems (Q5080393) (← links)
