This research deals with the initial investigations on the concept of a chaos-driven evolutionary algorithm Differential evolution. This paper is aimed at the embedding of simple twodimensional chaotic system, which is Lozi map, in the form of chaos pseudo random number generator for Differential Evolution. The chaotic system of interest is the discrete dissipative system. Repeated simulations ...

The shape optimization of gravity dam is posed as an optimization problem with goals of minimum value of concrete, stresses and maximum safety against overturning and sliding need to be achieved. Optimally designed structure generally saves large investments especially for a large structure. The size of hydraulic structures is usually huge and thus requires a huge investment. If the optimizatio...

A teaching-learning-based optimization (TLBO) algorithm is a new population-based algorithm applied in some applications in the literature successfully. Moreover, a genetic algorithm (GA) is a popular tool employed widely in many disciplines of engineering. In this paper, a hybrid GA-TLBO algorithm is proposed for the capacitated three-stage supply chain network design (SCND) problem. The SCND ...

Evolutionary algorithms are optimization methods which basic idea lies in biological evolution. They suit well for large and complex optimization problems. In this study, genetic algorithms and differential evolution are used for identifying the parameters of the nonlinear fuel cell model. Different versions of the algorithms are used to compare the methods and their available operators. The pr...

Evolutionary algorithms are optimization methods which basic idea lies in biological evolution. They suit well for large and complex optimization problems. In this study, genetic algorithms and differential evolution are used for identifying the parameters of the nonlinear fuel cell model. Different versions of the algorithms are used to compare the methods and their available operators. The pr...

Several Differential Evolution variants with modified search dynamics have been recently proposed, to improve the performance of the method. This work borrows ideas from adaptive filter theory to develop an “online” algorithmic adaptation framework. The proposed framework is based on tracking the parameters of a multinomial distribution to reflect changes in the evolutionary process. As such, w...

2 Sustainable and Infrastructure Research and Development Center, Department of Mechanical Engineering, Faculty of Engineering, KhonKaen University, KhonKaen City, Thailand ABSTRACT: This paper presents the optimization of path generating of four-bar linkages using evolution algorithms (EAs). The design problem is assigned to minimize the error between desired and obtained coupler curves. Such ...

In this paper, we present a multi-objective optimization approach for indoor wireless network planning subject to constraints for exposure minimization, coverage maximization and power consumption minimization. We consider heterogeneous networks consisting of WiFi Access Points (APs) and Long Term Evolution (LTE) femtocells. We propose a design framework based on Multi-objective Biogeography-ba...