Pages that link to "Item:Q5957460"

The following pages link to An application of genetic and evolutive algorithms to unit commitment problem (Q5957460):

Displaying 9 items.

• Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach (Q863981) (← links)
• A floating-point genetic algorithm for solving the unit commitment problem (Q877631) (← links)
• Using GRASP to solve the unit commitment problem (Q1810837) (← links)
• A hybrid neural network and simulated annealing approach to the unit commitment problem (Q1860016) (← links)
• An intelligent computing technique based on a dynamic-size subpopulations for unit commitment problem (Q2329570) (← links)
• Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production (Q2464195) (← links)
• ADAPTIVE-IMPROVED GENETIC ALGORITHM FOR THE ECONOMIC DISPATCH OF UNITS WITH MULTIPLE FUEL OPTIONS (Q3369538) (← links)
• Unit commitment by a genetic algorithm (Q4378937) (← links)
• A low-cost evolutionary algorithm for the unit commitment problem considering probabilistic unit outages (Q5497418) (← links)