This paper reviews the application of metaheuristics for optimized sustainable supply chain
management (SSCM). This paper explores the potential of metaheuristics to improve the …

The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …

Adjusting the search behaviors of swarm-based algorithms during their execution is a
fundamental errand for addressing real-world global optimizing challenges. Along this line …

One of the main issues with heuristics and meta-heuristics is the local optima stagnation
phenomena. It is often called premature convergence, which refers to the assumption of a …

Whale optimization algorithm was developed based on the prey-catching characteristics of
the humpback whales. Due to its simple structure and efficiency, the researchers employed …

Obtaining appropriate parameters of photovoltaic models based on measured current-
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …

Abstract Though the Butterfly Bptimization Algorithm (BOA) has already proved its
effectiveness as a robust optimization algorithm, it has certain disadvantages. So, a new …

Whale optimization algorithm (WOA) has been developed based on the hunting behavior of
humpback whales. Though it has a considerable convergence speed, WOA suffers from …

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 …

Fitness dependent optimizer (FDO) is considered one of the novel swarm intelligent
algorithms. Recently, FDO has been enhanced several times to improve its capability. One …