In the active distribution networks (ADNs), the emerging trend of high penetration of
sustainable energy sources such as wind turbines, photovoltaics, and the forthcoming …

The optimal power flow is considered as a crucial tool in the power systems' operation and
planning. To demonstrate, it aims at minimizing the operational costs of energy production …

This paper presents the improved version of the Lévy Flight Distribution (LFD) algorithm for
solving real-valued numerical optimization problems. In the proposed algorithm, the Fitness …

With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …

This paper develops a robust strategy based on integrating three mutation phases and
adapted control parameters into the Adaptive Guided Differential Evolution algorithm called …

Abstract Opposition-based learning (OBL), which plays an important role in soft computing,
has recently drawn attention. The paramount challenge of OBL is to design and find an OBL …

Meta-heuristic search algorithms (MHSs) are methods that take their inspiration from nature.
However, the fitness value information used in the design of the update mechanism in MHSs …

Spherical search algorithm (SSA) calculates the spherical boundary and generates new
solutions on it by two sub-populations jointly. Many researches have shown that SSA is a …

This paper proposes a novel hybrid optimization technique based on a machine learning
(ML) approach and transient search optimization (TSO) to solve the optimal power flow …

In this article, a new metaheuristic algorithm called Siberian Tiger Optimization (STO) is
designed to deal with optimization applications. The fundamental inspiration of STO is the …