A metaheuristic is conventionally described as an iterative generation process which guides
a servient heuristic by combining intelligently different concepts for exploring and exploiting …

This study presents a new design method for a nonlinear variable-gain PID controller, the
gains of which are described by a set of fuzzy rules. User-defined parameters are tuned …

Attainment of high‐performance motion/velocity control objectives for the Direct‐Drive
Rotary (DDR) torque motor should fully consider practical nonlinearities in controller design …

In this paper, we propose an extended multi-objective version of single objective
optimization algorithm called sperm swarm optimization algorithm. The proposed multi …

Many science and management problems can be formulated as global optimization
problems. Conventional optimization methods that make use of derivatives and gradients …

The rationale behind this book is to investigate neural mechanisms underlying different
reactive behaviors of biologically inspired walking machines. The systems presented here …

We employ a genetic algorithm to maximize the energy dissipated per unit areal density in
laminates composed of layers of poly-methyl-metha-acrylate (PMMA), adhesive and …

A new approach to the design of a neural network (NN) based navigator is proposed in
which the mobile robot travels to a pre-defined goal position safely and efficiently without …

Fuzzy rule based models have a capability to approximate any continuous function to any
degree of accuracy on a compact domain. The majority of FLC design process relies on …

This article presents an optimal hybrid fuzzy proportion integral derivative (HFPID) controller
based on combination of proportion integral derivative (PID) and fuzzy controllers, by which …