A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

One of the most difficult types of problems computationally is the security-constrained
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …

In order to build a green manufacturing model and realize energy conservation and
emission reduction, we establish a distributed two-stage reentrant hybrid flow shop bi-level …

An enhanced multi-objective Quasi-Reflected Jellyfish Search Optimizer (MOQRJFS) is
presented in this article for solving multi-dimensional Optimal Power Flow (MDOPF) issue …

Salp swarm algorithm (SSA) is a recent optimization technique inspired by behavior of the
salp chains in deep oceans. However, the SSA is efficient, simple and easy to implement, it …

This paper presents an economical-technical-environmental dispatch (ETED) model for an
adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy …

Hybrid Renewable Energy Sources (HRES) integrated into a microgrid (MG) are a cost-
effective and convenient solution to supply energy to off-grid and rural areas in developing …

In this paper, a hybrid improved whale optimization salp swarm algorithm (IWOSSA) is
proposed. The main idea behind IWOSSA is to combine improved Whale Optimization …

This study proposes a robust method to improve the search performance of multi-objective
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …