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This paper considers the non-convex Economic Dispatch Problem (EDP) with power losses, prohibited operating zones, and generation cost functions modeling both valve-point loading effects and multiple fuel options. This constrained problem is stated as an unconstrained problem by using the augmented Lagrange formulation, while introducing Lagrange multipliers and penalty parameters. Then, a genetic...
This paper describes a Genetic Algorithm with Resolution Adaptation (GARA) used to solve System Identification (SI) problems. The algorithm is both hybrid, because it combines the genetic search with a fast local hill climbing method to improve the speed of convergence, and adaptive, because it uses information on the actual convergence of the population to modify the resolution of the binary representation...
The coordination of just-in-time production and transportation in a network of partially independent facilities to guarantee timely delivery to distributed customers is one of the most challenging aspect of supply chain management. From a theoretical perspective, the timely production/distribution can be viewed as a hybrid combination of planning, scheduling and routing problems, each notoriously...
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