The deployment cost of the structural health monitoring (SHM) system is the major argument
against the more widespread use of the structural health monitoring techniques …

This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

Segmentation is a critical task in image processing. Bi-level segmentation involves dividing
the whole image into partitions based on a threshold value, whereas multilevel …

Nowadays, with the development of information technology and economic globalization,
supplier selection problem gets more and more attraction. The recent literature shows huge …

In this paper a new method for dynamic parameter adaptation in particle swarm optimization
(PSO) is proposed. PSO is a metaheuristic inspired in social behaviors, which is very useful …

This paper presents a comparative study between the firefly algorithm (FA) and the galactic
swarm optimization (GSO) method, where the performance of both methods is observed and …

In this paper a method for dynamically adjusting parameters in meta-heuristics based on
interval type-2 fuzzy logic is proposed. Nowadays meta-heuristic algorithms have become a …

Flexible scheduling is one of the most significant core techniques for intelligent
manufacturing systems. Realization of an optimized schedule through flexible resources …

In this paper the optimization of type-2 fuzzy inference systems using genetic algorithms
(GAs) and particle swarm optimization (PSO) is presented. The optimized type-2 fuzzy …