Recently, a lot of studies on Multi-Objective Genetic Algorithm (MOGA), in which Genetic Algorithm is applied to Multi-objective Optimization Problems (MOPs), have been reported actively. MOGA has been also applied to engineering design fields, then it is important not only to obtain high-performance Pareto solutions but also to analyze the obtained Pareto solutions and extract some knowledge i...

This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we address how such the systems may be investigated using the Single Sinusoidal Input Describing Function (SIDF) philosophy. The extension of the SIDF to multi loop nonlinear systems is presented. For the class of separable nonlinear...

Predicting groundwater levels is critical for ensuring sustainable use of an aquifer’s limited reserves and developing a useful abstraction management strategy. The purpose this study was to assess the predictive accuracy estimation capability various models based on Adaptive Neuro Fuzzy Inference System (ANFIS). These included Differential Evolution-ANFIS (DE-ANFIS), Particle Swarm Optimizatio...

Manuscript received September 10, 2009; revised November 20, 2009; accepted December 2, 2009 Correspondent Author :Li Ming This paper is was supported by the National Natural Science Funds (60963002) from China. Abstract— Feature subset selection is the most important and difficult task in the field of fatigue fracture image identification. In this paper, a new method which is hybrid of linear ...

The dyeing of textile materials is the most critical process in cloth production because of the strict technological requirements. In addition to the technical aspect, there have been increasing concerns over how to minimize the negative environmental impact of the dyeing industry. The emissions of pollutants are mainly caused by frequent cleaning operations which are necessary for initializing...

Capability Maturity Model Integration (CMMI) helps organizations to improve software development processes. But it contains very little information on process dynamics. It doesn’t address the following issues like Specific tools, methods and technologies to be followed, Issues in Human resource management, People management methodology and cost attached to people manager. In this paper we focus...

Testing of multi-threaded programs is a demanding work due to the many possible thread interleavings one should examine. The noise injection technique helps to increase the number of thread interleavings examined during repeated test executions provided that a suitable setting of noise injection heuristics is used. The problem of finding such a setting, i.e., the so called test and noise config...

This paper presents a multi-objective genetic algorithm (MOGA) with Pareto optimality and elitist tactics for the control system design of automated guided vehicle (AGV). The MOGA is used to identify AGV driving system model and optimize its servo control system sequentially. In system identification, the model identified by least square method is adopted as an evolution tutor who selects the i...

Current rover localization techniques such as visual odometry have proven to be very effective on shortto medium-length traverses (e.g., up to a few kilometers). This paper deals with the problem of long-range rover localization (e.g., 10 km and up) by developing an algorithm named MOGA (Multi-frame Odometrycompensated Global Alignment). This algorithm is designed to globally localize a rover b...