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A considerable amount of energy is consumed by machine tools during the run-time operations such as tool change and tool path. The value of this part of energy is affected by the processing sequence of features of a part (PSFP) because the tool path and tool change plan will vary based on the different PSFP. This paper firstly aims to understand the relationship between the PSFP and the energy consumption...
Increasing energy price and emission reduction requirements are new challenges faced by modern manufacturers. A considerable amount of their energy consumption is attributed to the machining energy consumption of machine tools (MTE), including cutting and non-cutting energy consumption (CE and NCE). The value of MTE is affected by the processing sequence of the features within a specific part because...
A phase error calibration algorithm for the uniformly spaced linear hydrophone array using the genetic algorithm is presented. Based on the Toeplitz character of the array covariance matrix, a cost function is constructed for the proposed algorithm. Unlike conventional algorithms, the proposed algorithm can be realized without additional calibrating sources for calibration or the prior knowledge of...
It is an objective fact that large database has inconsistent data. This paper presents a new rule acquisition method based on rough set theory and genetic algorithm. Using rough set theory, we will divide inconsistent data table into two parts, certain data and possible data, and then standard genetic algorithm is used for mining rules set. When the algorithm is processing, the user is allowed to...
The execution process is critical to the success of a software outsourcing service. It defines the major roles and activities involved in delivering the outsourced software. This paper presents a process-oriented software outsourcing decision approach, which helps a client selecting appropriate vendors and defining the execution process that both the client and the vendors should comply with during...
In this paper, linking with the basic principle of FCM algorithm, on the basis of theory research, a method of the cluster analysis that FCM and the genetic algorithm are combined together is proposed. Firstly, the approximate optimal solution obtained by the genetic algorithm is taken as the original value of the FCM algorithm, then carrying on the local search to obtain the global optimal solution,...
In order to get good SAR-GMTI (Synthetic Aperture Radar-Ground Moving Target Indicator) result, two pictures are demanded to be like at sub-pixel with registration method. This paper proposes a new image registration method, which combine genetic algorithm with traditional image registration algorithm, it uses Fourier algorithm in the pixel image registration, and combine genetic algorithm with amplitude...
This parameters selection is an important issue in the research of ??-support vector regression machine (??-SVRM), whose nature is an optimization selection process. Motivated by the effectiveness of differential evolution (DE) algorithm on optimization problem, a new automatic searching method based on DE algorithm was proposed. Experimental results demonstrate that ??-SVRM model optimization based...
For effects of the parameters of fuzzy controller with nonlinear scaling factors on a system's performance and the parameters are interactive, this paper proposes a parameters self-adaptive fuzzy controller based on genetic algorithm (GA). Simulation results show that the proposed fuzzy controller has better dynamics and static property. When the parameters or structure of plant is changed, the presented...
For effects of the parameters of fuzzy controller with nonlinear scaling factors on a system's performance and the parameters are interactive, this paper proposes a method based on genetic algorithm (GA) to tune and optimize the parameters. Simulation results show that system which adopted the parameters derived from the method has better dynamics and static property. When the parameters or structure...
Expert assignment is chief and basic work of project review in project management. So it is significant to research how to solve expert assignment problem (EAP). In previous papers, we established the mathematical model of expert assignment problem, and proposed genetic algorithm (GA) and GA using heuristic mutation guide by pheromone (HMP) to solve EAP. Though it has been proven GA and HMP are effective...
Content-based image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their low-level features. How to effectively find the semantic meanings of images is a central challenge in the area. In this paper, we propose an interactive platform for region-based image clustering and retrieval. A genetic...
Genetic algorithm offers the common frame of resolving optimization problem by imitating biological evolution based on natural selection. However it has some drawbacks such as slow convergence and being premature. In genetic algorithm, individual generated by genetic operation is a bit random and even sometimes more inferior than its parents. So a new operator - negative selection that can filtrate...
Genetic algorithm is used to optimize a base station antenna in order to achieve a shaped beam in a frequency band. During the optimization process, different antenna models have been evaluated using the Method of Moment (MoM). As a result of this optimization, a shaped beam antenna with suppressed sidelobe smaller than −18dB, backlobe smaller than −30dB and filled null point larger than −15dB is...
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