Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale
optimization problems. SFLA is a population-based algorithm that combines the advantages …

This paper introduces a multi-objective fault indicator (FI) placement method in electric
distribution systems. The prevalent FI placement problem formulation is extended by …

This research is dedicated to slope stability analysis using novel intelligent models. By
coupling a neural network with spotted hyena optimizer (SHO), salp swarm algorithm (SSA) …

The shuffled frog leaping algorithm (SFLA) easily falls into local optimum when it solves
multioptimum function optimization problem, which impacts the accuracy and convergence …

In this paper, a conceptual framework for self-healing ability of Smart Grid is introduced,
which includes three main categories: system, component, and healer healing (or healer …

In distribution systems, fault indicators (FIs) are used for fast faulted line‐section location.
Locations and the numbers of FIs affect the reliability indices of distribution companies and …

This paper presents a methodology for fault location in distribution systems of electric energy
through remote management of fault indicators in a distribution circuit of CODENSA. The …

Resource allocation (RA) techniques should be made efficient and optimized in order to
enhance the QoS (power & bit, capacity, scalability) of high-speed networking data …