An air–fuel ratio system has a crucial role in helping protect the environment from the
harmful emissions of the lean combustion spark-ignition engines and regulating fuel …

A novel hybrid algorithm developed by merging atom search optimization (ASO) and Nelder-
Mead (NM) simplex search algorithms is presented. The proposed improved algorithm (ASO …

Aquila Optimizer (AO) and Harris Hawks Optimizer (HHO) are recently proposed meta-
heuristic optimization algorithms. AO possesses strong global exploration capability but …

Internal Combustion (IC) engines are commonly used in the process industry, and proper Air-
Fuel Ratio (AFR) regulation in their fuel system is essential for improved engine …

Controlling the air-fuel ratio system (AFR) in lean combustion spark-ignition engines is
crucial for mitigating emissions and addressing climate change. In this regard, this study …

In this paper, a new synthesis method is presented to control air–fuel ratio (AFR) in spark
ignition engines to maximize the fuel economy while minimizing exhaust emissions. The …

This paper considers the development of a novel hybrid metaheuristic algorithm which is
proposed to achieve an optimum design for automobile cruise control (ACC) system by …

In this work, we propose a real proportional-integral-derivative plus second-order derivative
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …

In this paper, a novel hybrid Neural Network Algorithm-Differential Evolution (NNA-DE)
optimizer which integrates both NNA and DE is proposed. The proposed hybrid NNA-DE …

Utilizing meta-heuristic global optimization algorithms in gas turbine aero-engines modelling
and control problems is proposed over the past two decades as a methodological approach …