The paper presents a Genetic Algorithm (GA) approach for solving constrained reliability redundancy optimization of general systems. The advanced GA technique uses a dynamic adaptive penalty function to consider the infeasible solutions also and guides the search to optimal or near optimal solution. The penalty technique is applied to keep a certain amount of infeasible solutions in each genera...

This paper introduces a new application of genetic algorithm (GA) in dynamic sector synthesis of antenna array for mobile base transceiver station (BTS). The basic objective is to have narrow beam widths in heavy handoff areas and wider beam widths in areas with low traffic density. By predefining the beam widths and thus the beams of each sector, optimal sectoring can be achieved using GA at d...

OBJECTIVES We examined the effectiveness of the Signs of Suicide (SOS) prevention program in reducing suicidal behavior. METHODS Twenty-one hundred students in 5 high schools in Columbus, Ga, and Hartford, Conn, were randomly assigned to intervention and control groups. Self-administered questionnaires were completed by students in both groups approximately 3 months after program implementati...

With the global search method of adaptive genetic algorithm (GA), an improved methodology is proposed to identify the equivalent radiating dipoles of real sources on substrates such as printed circuit boards (PCB) and then to regenerate the radiating far field. This methodology is based on a set of elemental electricand magnetic dipoles which model the real sources. The numbers, positions and o...

Inspired by the evolutionary strategy and the biological DNA mechanism, a hybrid DNA based genetic algorithm (HDNA-GA) with the population update operation and the adaptive parameter scope operation is proposed for solving parameter estimation problems of dynamic systems. The HDNA-GA adopts the nucleotides based coding and some molecular operations. In HDNA-GA, three new crossover operators, re...

Competition between triplex formation with double-stranded DNA and oligonucleotide self-association was investigated in 23mer GA and GT oligonucleotides containing d(GA)5 or d(GT)5 repeats. Whereas triplex formation with GT oligonucleotides was diminished when temperature increased from 4 to 37 degrees C, triplex formation with GA oligonucleotides was enhanced when temperature increased within ...

The objective of this paper is to propose an adaptive-evolutionary method for thresholding which is used as an artificial intelligent algorithm for image segmentation especially for object segmentation. This method employs resistant versus mixed histograms because of its suitable fitness function selection that consists of the histogram details. As things develop in the paper, three evolutionar...

This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...

The performance of a genetic algorithm (GA) is dependent on many factors: the type of crossover operator, the rate of crossover, the rate of mutation, population size, and the encoding used are just a few examples. Currently, GA practitioners pick and choose GA parameters empirically until they achieve adequate performance for a given problem. In this paper we have isolated one such parameter: ...

I start with a basic tutorial on Artiicial Evolution, and then show the simplest possible way of implementing this with the Microbial Genetic Algorithm. I then discuss some shortcomings in many of the basic assumptions of the orthodox Genetic Algorithm (GA) community , and give a rather diierent perspective. The basic principles of SAGA (Species Adaptation GAs) will be outlined, and the concept...