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This paper presents a study for the network reconfiguration problem for loss reduction with distributed generation units (DGs) included in the network. Two heuristic algorithms inspired from natural phenomena are proposed to solve the problem, real ants'-behavior-inspired, Ant Colony Optimization (ACO) implemented in the Hyper Cube (HC) framework and musicians'-behavior-inspired, Harmony Search (HS)...
This paper proposes two Bio-inspired heuristic algorithms to solve the power distribution network reconfiguration problem for loss minimization, "real ants'-behavior-inspired" Ant Colony Optimization ACO implemented in the Hyper Cube HC framework and "musicians'-behavior-inspired" Harmony Search IIS algorithm. The optimization problem is formulated taking into account the operational...
This paper introduces the Ant Colony Optimization algorithm (ACO) implemented in the Hyper-Cube (HC) framework to solve the distribution network minimum loss reconfiguration problem. The ACO is a relatively new and powerful intelligence evolution method inspired from natural behavior of real ant colonies for solving optimization problems. In contrast to the usual ways of implementing ACO algorithms,...
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