Due to its significance in the operation of power systems, the optimal power flow (OPF)
problem has attracted increasing interest with the introduction of smart grids. Optimal power …

Optimal power flow (OPF), a mathematical programming problem extending power flow
relationships, is one of the essential tools in the operation and control of power grids. To …

This article applies the grey wolf optimizer and differential evolution (DE) algorithms to solve
the optimal power flow (OPF) problem. Both algorithms are used to optimize single objective …

Multi-objective optimization aspects of four modern machining processes namely wire-
electro discharge machining process, laser cutting process, electrochemical machining …

To solve the non-differentiable optimal power flow (OPF) problems with multiple
contradictory objectives, a modified pigeon-inspired optimization algorithm (MPIO) is put …

The proposal of the wind farm layout optimization (WFLO) problem aims to better utilize wind
energy. A multi-objective reptile search algorithm (MORSA) based on elite non-dominated …

This study introduces a novel meta-heuristic optimization algorithm known as quasi-
oppositional modified Jaya (QOMJaya) to solve different multi-objective optimal power flow …

This paper presents an Enhanced Self-adaptive Differential Evolution with Mixed Crossover
(ESDE-MC) algorithm to solve the multiobjective optimal power flow problems with …

Decomposition-based multiobjective evolutionary algorithms (MOEAs) decompose a
multiobjective optimization problem into a set of scalar objective subproblems and solve …

The teaching-learning-based optimizer (TLBO) algorithm is a powerful and efficient
optimization algorithm. However it is prone to getting stuck in local optima. In order to …