Pages that link to "Item:Q405676"
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The following pages link to A hybrid biased random key genetic algorithm approach for the unit commitment problem (Q405676):
Displaying 9 items.
- A biased random-key genetic algorithm to maximize the number of accepted lightpaths in WDM optical networks (Q312488) (← links)
- Hybrid method with CS and BRKGA applied to the minimization of tool switches problem (Q342275) (← links)
- A modified differential evolution algorithm for the solution of a large-scale unit commitment problem (Q1637784) (← links)
- Optimal configuration of power distribution networks with variable renewable energy resources (Q1652686) (← links)
- Unit commitment by a genetic algorithm (Q4378937) (← links)
- A Genetic Algorithm for Scheduling Alternative Tasks Subject to Technical Failure (Q5270510) (← links)
- An application of genetic and evolutive algorithms to unit commitment problem (Q5957460) (← links)
- A multistart biased random key genetic algorithm for the flexible job shop scheduling problem with transportation (Q6079857) (← links)
- Optimizing job shop scheduling with speed-adjustable machines and peak power constraints: a mathematical model and heuristic solutions (Q6609707) (← links)