today according to the competitive conditions, companies try to reduce their inventory level to diminish the costs. in companies inventory management and control should establish a balance between inventory level of spare parts, cost and the risk that arising from absence of part when is needed. it is clear that this level of spare parts inventory affected by facility characteristics and its re...

The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in ...

In this paper, a exible yet eecient algorithm for solving engineering design optimization problems is presented. The algorithm is developed based on both binary-coded and real-coded genetic algorithms (GAs). Since both GAs are used, the variables involving discrete, continuous, and zero-one variables are handled quite eeciently. The algorithm restricts its search only to the permissible values ...

Optimization design, as a new branch of science in recent years, is the result of optimization technique and computer technology applied in design. Optimization design provides an important scientific design method for engineering designer, which seeks the most perfect and optimum design proposal and greatly improves design efficiency and quality. Genetic Algorithm (GA) is an overall random sea...

value firstly. Computation efficiency will decrease. Abstract⎯Real-coded genetic algorithm (RGA) usually meets the demand of consecutive space problem. However, compared with simple genetic algorithm (SGA), RGA also has the inherent disadvantages such as prematurity and slow convergence when the solution is close to the optimum solution. This paper presents an improved real-coded genetic algori...

A new performance and area optimization algorithm for complex VLSI systems is presented. It is widely believed within the VLSI CAD community that the relationship between delay and silicon area of a VLSI chip is convex. This conclusion is based on a simpliied linear RC model to predict gate delays. In the proposed optimization algorithm, a nonlinear, non-RC based transistor delay model was used...

This paper presents a real-coded estimation distribution algorithm (EDA) inspired to the extended compact genetic algorithm (ECGA) and the real-coded Bayesian Optimization Algorithm (rBOA). Like ECGA, the proposed algorithm partitions the problem variables into a set of clusters that are manipulated as independent variables and estimates the population distribution using marginal product models...

A major problem in the use of genetic algorithms is premature convergence, a premature stagnation of the search caused by the lack of diversity in the population. One approach for dealing with this problem is the distributed genetic algorithm model. Its basic idea is to keep, in parallel, several subpopulations that are processed by genetic algorithms, with each one being independent of the oth...

Absract This chapter intends to present a brief review of genetic search algorithms and introduce a new type of genetic algorithms (GAs) called the real coded structural genetic algorithm (RSGA) for function optimization. The new genetic model combines the advantages of traditional real genetic algorithm (RGA) with structured genetic algorithm (SGA). This specific feature makes it able to solve...