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A hybrid antlion and hunter prey optimization paradigm for optimal allocation of distributed generation in radial distribution system
Abstract Optimal selection of distributed generation (DG) locations and sizes is essential for improving the performance of radial distribution systems (RDSs). This paper proposes a hybrid Ant Lion Optimizer–Hunter-Prey Optimizer (ALO–HPO) for optimal DG placement and sizing, combining the global search capability of ALO with the local refinement characteristics of HPO to achieve an improved exploration–exploitation balance.
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