Abstract Salp Swarm Algorithm (SSA) is a recent approach with a simple implementation,
few parameters, and low computational cost. SSA has been used in different optimization …

The identification of parameters in solar cell models is still a major challenge in photovoltaic
(PV) system simulation and design. Because of its more basic ideas, efficiency, adaptability …

In the domain of artificial neural networks, the learning process represents one of the most
challenging tasks. Since the classification accuracy highly depends on the weights and …

The critical challenge for an efficient islanding operation of a distribution system having
Distributed Generation (DG) is preserving the frequency and voltage stability. Contemporary …

Abstract The Salp Swarm Algorithm (SSA) is an effective single-objective optimization
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …

In this study, an improved African vulture optimization algorithm (IAVOA) that combines the
African vulture optimization algorithm (AVOA) with both quasi-oppositional learning and …

Meta-heuristic algorithms are often leveraged to solve complicated engineering optimization
and scientific problems. Salp swarm algorithm is one of the most useful meta-heuristic …

Based on the salp swarm algorithm (SSA), this paper proposes an efficient metaheuristic
algorithm for solving global optimization problems and optimizing two commonly …

This research proposes the use of feed-forward backpropagation neural networks (FFNN) to
develop an accurate cost forecasting model in light of the challenges associated with …

In this paper, an enhanced version of the salp swarm algorithm (SSA) for global optimization
problems was developed. Two improvements have been proposed:(i) Diversification of the …