Pages that link to "Item:Q1883546"

The following pages link to A solution to the optimal power flow using genetic algorithm (Q1883546):

Displaying 17 items.

• A chaos-based evolutionary algorithm for general nonlinear programming problems (Q509298) (← links)
• IT-CEMOP: an iterative co-evolutionary algorithm for multiobjective optimization problem with nonlinear constraints (Q864782) (← links)
• A floating-point genetic algorithm for solving the unit commitment problem (Q877631) (← links)
• Reduced gradient method combined with augmented Lagrangian and barrier for the optimal power flow problem (Q932552) (← links)
• Ant colony search algorithm for optimal generators startup during power system restoration (Q966405) (← links)
• Distribution network optimization: Finding the most economic solution by using genetic algorithms (Q1296786) (← links)
• The application of the linear adaptive genetic algorithm to optimal power flow problem (Q1639902) (← links)
• A simulated annealing genetic algorithm for the electrical power districting problem (Q1812144) (← links)
• Hybrid real coded genetic algorithm solution to economic dispatch problem (Q1860071) (← links)
• Optimal power flow using gbest-guided cuckoo search algorithm with feedback control strategy and constraint domination rule (Q1993287) (← links)
• Essential issues on solving optimal power flow problems using soft-computing (Q2260235) (← links)
• GENLS: Co-evolutionary algorithm for nonlinear system of equations (Q2479234) (← links)
• An effective genetic algorithm approach to large scale mixed integer programming problems (Q2489337) (← links)
• A combined genetic algorithm-fuzzy logic controller (GA--FLC) in nonlinear programming (Q2573546) (← links)
• Using of genetic algorithms (GA) in the operating control in power system of Slovak republic (Q2776037) (← links)
• Optimal Planning of Distributed Generation via Nonlinear Optimization and Genetic Algorithms (Q2974345) (← links)
• Unit commitment by a genetic algorithm (Q4378937) (← links)