Biogeography-based optimization (BBO) is an evolutionary algorithm which is inspired by
the migration of species between habitats. Almost 10 years have passed since the first BBO …

Everywhere, typical network systems are challenging two opposite situations, mainly caused
by suppliers and consumers. The provision of new power quality resources and an increase …

This paper proposes a novel and an effective multi-objective optimization algorithm named
multi-objective sine-cosine algorithm (MO-SCA) which is based on the search technique of …

Efficient management of supply chain (SC) requires systematic considerations of
miscellaneous issues in its comprehensive version. In this paper, a multi-periodic structure is …

This paper proposes an effective non-dominated moth-flame optimization algorithm (NS-
MFO) method for solving multi-objective problems. Most of the multi-objective optimization …

Abstract Stochastic Fractal Search (SFS) is a novel and powerful metaheuristic algorithm.
This paper presents a Multi-Objective Stochastic Fractal Search (MOSFS) for the first time, to …

Phasor measurement unit (PMU) plays an important role in operation, protection, and control
of modern power systems. PMU provides real time, synchronized measurements of bus …

The state of power systems is getting more and more unpredictable, by ever-increasing
integration of renewable energy sources such as wind turbines. In addition to renewable …

This paper proposes a new two-stage optimization method for multi-objective supply chain
network design (MO-SCND) problem with uncertain transportation costs and uncertain …

Optimization is a classical issue and in many areas that are bound up with people's daily life.
In current decades, with the development of human civilization and industry society, many …