Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in
different fields of technology and science and have recently been applied to improve …

Accurate and effective pollutant emission control models are key in mitigating the
environmental impact of energy supply systems. This paper proposes a novel high …

In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …

In recent years, the integration of renewable generation into micro-grid has been growing.
Therefore, it is essential to optimize the power generation from multiple sources with minimal …

Genetic algorithm is a classic intelligent bionic algorithm, which is evolved according to the
genetic evolution process of organisms in nature, and has strong global optimization ability …

Background Optimizing the somatic embryogenesis protocol can be considered as the first
and foremost step in successful gene transformation studies. However, it is usually difficult to …

With the gradual opening and rapid development of power markets, large-scale multi-area
interconnected power systems (LMIPSs) have become an inevitable pattern. The traditional …

Drought stress as one of the most devastating abiotic stresses affects agricultural and
horticultural productivity in many parts of the world. The application of melatonin can be …

This paper represents a hybrid Firefly and Self-Regulating Particle Swarm Optimization
(FSRPSO) algorithm to solve optimal Combined Heat and Power Economic Dispatch …