Fault detection, isolation and optimal control have long been applied to industry. These
techniques have proven various successful theoretical results and industrial applications …

This systematic review aims to evaluate the efficacy of fuzzy multi-objective optimization
techniques in supporting decision-making in financial portfolio management under …

Multi-objective optimization has been adopted in many engineering problems where a set of
requirements must be met to generate successful applications. Among them, there are the …

This paper proposes a novel controller for automatic voltage regulator (AVR) system. The
controller is a four term control type consisting of proportional, integral, derivative, and …

Wave energy technologies have the potential to play a significant role in the supply of
renewable energy worldwide. One of the most promising designs for wave energy …

This paper proposes a novel hybrid arithmetic–trigonometric optimization algorithm (ATOA)
using different trigonometric functions for complex and continuously evolving real-time …

Ensemble learning methods have already shown to be powerful techniques for creating
classifiers. However, when dealing with real-world engineering problems, class imbalance …

The closed-loop performance of model-based controllers, such as model predictive control,
largely depends on the quality of their underlying model of system dynamics. Inspired by the …

Fractional-order proportional-integral-derivative (FOPID) controllers are designed for load-
frequency control (LFC) of two interconnected power systems. Conflicting time-domain …

Optimization makes processes, systems, or products more efficient, reliable, and with better
outcomes. A popular topic on optimization today is multiobjective bilevel optimization …