A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …

In this article, we investigate the tuning problem of digital proportional-integral-derivative
(PID) parameters for a dc motor controlled via the controller area network (CAN). First, the …

The field of complex network clustering has been very active in the past several years. In this
paper, a discrete framework of the particle swarm optimization algorithm is proposed. Based …

This paper proposes a robust proportional-integral (PI) controller with its parameters
designed by constrained population extremal optimization for load frequency control …

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 …

Abstract The Expected Hypervolume Improvement (EHVI) is a frequently used infill criterion
in Multi-Objective Bayesian Global Optimization (MOBGO), due to its good ability to lead the …

This paper presents the design and performance analysis of Proportional Integral Derivate
(PID) controller for an Automatic Voltage Regulator (AVR) system using recently proposed …

In this paper, a Firefly Algorithm (FA) based Fractional Order PID (FOPID) Controller is
proposed for Brushless DC (BLDC) motor to achieve an effective control of torque and …