A new version of Genetic Algorithms, the Breeder Genetic Algorithms, has been recently proposed in literature and successfully applied to the continuous parameter optimisation. In this paper we aim to test this technique against a classical discrete Genetic Algorithm on a typical optimisation problem in Aerodynamics, the problem of determining the coordinates of an airfoil given a surface press...

This paper deals with the automated design and economic optimization of reinforced concrete frame bridges typically used in road construction. The optimization algorithms applied are (i) parallel genetic algorithms (PGA) and (ii) parallel memetic algorithms (PMA). The evaluation of solutions follows the Spanish Code for structural concrete. Stress resultants and envelopes of framed structures a...

This paper investigates the dynamic interactions among economic growth, unemployment, income distribution and population growth. The model combines rational behaviour of agents, and pro...ts as the crucial determinant of the accumulation of ...rms with endogenous fertility and unemployment. In particular the supply of labour is determined by micro-founded fertility choices of the individuals. W...

Due to the resource constraint and dynamic parameters, reducing energy consumption became the most important issues of wireless sensor networks topology design. All proposed hierarchy methods cluster a WSN in different cluster layers in one step of evolutionary algorithm usage with complicated parameters which may lead to reducing efficiency and performance. In fact, in WSNs topology, increasin...

Control charts are extensively used in manufacturing contexts to monitor production processes. This article illustrates economical design of a variable sample size and control limit Hotelling’s T2 control chart based on a novel cost model when occurrence times of the assignable causes are exponentially distributed. The proposed nonlinear cost model is an extension of Duncan’s (J Am Stat ...

Over the past few decades great efforts were made to solve uncertain hybrid optimization problems. The n-Queen problem is one of such problems that many solutions have been proposed for. The traditional methods to solve this problem are exponential in terms of runtime and are not acceptable in terms of space and memory complexity. In this study, parallel genetic algorithms are proposed to solve...

there are some machineries and equipments as well as relatively fix amount of human resources involved in any production process. in many cases, by observing operational method of a process, one may see that some of these machineries are not working, but on the other hand, other equipments are continuously working, and many parts are set in front of them, waiting to be set up over machines to c...

The prediction of river, s discharge rate is one of the important issues in water resources engineering. This issue is very important for the planning, management, and policy making in water resources management, especially in the country like Iran, with limited water resources in line the economic and environmental development. Awareness of how the relationship between rainfall and run...