Novel Advanced Cricetomys Emini Optimization and Enhanced Dictyostelid Algorithm for Active Power Loss Diminution and Voltage Stability Enrichment in Electrical Distribution Network

Abstract

Advanced Cricetomys emini optimization (ACEO) algorithm and Enhanced Dictyostelid optimization algorithm (EDOA) are applied for active power loss diminution and voltage stability enrichment. Cricetomys emini in the breeding period, info about the pathway leading to the copious nutrition source is shared among the cluster members. In the exploration section if another Cricetomys emini objective functional value exceeds that of the fittest Cricetomys emini (α male), then the appropriate Cricetomys emini is updated and the locations of the other members in the cluster are accustomed based on the recently recognized fittest Cricetomys emini. In the exploitation section, breeding period differs from habitation to habitation and typically happens during the rainy period. Cricetomys emini optimization algorithm has been intermingled with Caelifera optimization algorithm to enhance competence of search and to evade the getting trapped in local optima Cricetomys emini males sense the breeding period and alienate themselves from the cluster in the breeding period. Dictyostelid algorithm is hybridized with Arctic tern optimization algorithm. By immigration Arctic tern will passage to further areas. Advanced Cricetomys emini optimization algorithm and enhanced Dictyostelid optimization algorithm are corroborated in 7 benchmark functions and IEEE 30, 57, 118 systems

Please cite this article as:

Kanagasabai L. Novel advanced Cricetomys Emini optimization and enhanced Dictyostelid algorithm for active power loss diminution and voltage stability enrichment in electrical distribution network. Herald of the Bauman Moscow State Technical University, Series Natural Sciences, 2026, no. 1 (124), pp. 51--68. EDN: YPKLLQ

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