This paper presents a Genetic Algorithm (GA) approach for solving constrained reliability optimization problem of the five unit bridge network. Considering uncertainty for cost, the reliability optimization problem has been solved by GA technique to maximize system reliability. GA is an efficient method for solving this type of optimization problems. This paper successfully applies the GA techn...

In the recent past, genetic algorithm (GA) and evolutionary optimization scheme have become increasingly popular for the design of electromagnetic (EM) devices. However, the conventional GA suffers from computational drawback and parameter dependency when applied to a computationally expensive problem, such as practical EM optimization design. To overcome these issues, a hybrid optimization sch...

This paper presents a new nature inspired Intelligent Water Drops (IWD) based algorithm for finding peaks in continuous multimodal optimization problems. Initially various conceptual similarities were identified between IWD algorithm and Genetic Algorithm(GA). Simultaneously applying IWD-Continuous Optimization(IWD-CO) algorithm and GA on a function in finding the global optima and found IWDCO ...

This paper presents the design optimization of axial flux surface mounted Permanent Magnet Brushless DC motor based on genetic algorithm for an electrical vehicle application. The rating of the motor calculated form vehicle dynamics is 250 W, 150 rpm. The axial flux surface mounted Permanent Magnet Brushless DC (PMBLDC) motor was designed to fit in the rim of the wheel. There are several design...

A halftoning technique that uses a simple GA has proven to be very effective to generate high quality halftone images. Recently, the two major drawbacks of this conventional halftoning technique with GAs, i.e. it uses a substantial amount of computer memory and processing time, have been overcome by using an improved GA (GA-SRM) that applies genetic operators in parallel putting them in a coope...

Abstract – In this paper, Genetic algorithm (GA) optimization method is presented for optimal design of power system stabilizer (PSS). The design problem of the PSS parameters is formulated as an optimization problem and GA optimization method is used to search for optimal PSS parameters. The 2-area-4-machine power system, under a wide range of system configurations and operation conditions is ...

this study is focused on developing an integrated optimization-simulation based genetic algorithm model (iosga) to develop the operational policies for a multi-purpose reservoir system. the objective function of the optimization model is considered to be a linear function of reliability (rel), resiliency (res), and vulnerability (vul) of the river-reservoir system. genetic algorithm (ga) is emp...

Realistic engineering problems always involve interaction of several disciplines like fluid dynamics, heat transfer, elasticity, electromagnetism, dynamics, etc. Thus, realistic problems are always multidisciplinary and the geometric space is typically arbitrarily shaped and three-dimensional. Each of the individual disciplines is governed by its own system of governing partial differential equ...

Due to the unique characteristics such as handling complex, nonlinear, and sometimes intangible dynamic systems, fuzzy systems are used in the modeling of InputOutput data of the process. The combination of fuzzy rule-based systems with genetic algorithms can lead to very useful descriptions of several optimization and search problems. In this paper, clustering strategy is implemented in the de...

The most common optimization method for the of injection mold process parameters is range analysis, but there often a nonlinear coupling relationship between molding and quality indicators. Therefore, it difficult to find optimal combination in analysis. In this article, genetic algorithm optimized extreme learning machine network model (GA-ELM) combined with (GA) was proposed optimize mold. Ta...