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1.
Application of interactive genetic algorithm to fashion design   总被引:25,自引:0,他引:25  
In general, computer-aided design support systems have got an approach of traditional artificial intelligence, which statistically analyzes data such as the behavior of designer, to extract formal design behavior. This approach, however, can neither deal with continuous change of fashion nor reflect personal taste well, as it just depends on large amount of collected data. To overcome this sort of problem interactive genetic algorithm (IGA) has been recently proposed, as a new trend of evolutionary computation. IGA uses human's response as fitness value when the fitness function cannot be explicitly defined. This enables IGA to be applied to artistic domains, and we propose a fashion design aid system using it. Unlike the previous works that attempt to model the dress design by several spline curves, the proposed system is based on a new encoding scheme that practically describes a dress with three parts: body and neck, sleeve, and skirt. By incorporating the domain-specific knowledge into the genotype, we could develop a more realistic design aid system for women’s dress. We have implemented the system with OpenGL and VRML to enhance the system interface. The experiments with several human subjects show that the IGA approach to dress design aid system is promising.  相似文献   

2.
A new interval optimization algorithm is presented in this paper. In engineering, most optimization algorithms focus on exact parameters and optimum objectives. However, exact parameters are not easy to be manufactured to because of manufacturing errors and expensive manufacturing cost. To account for these problems, it is necessary to estimate interval design parameters and allowable objective error. This is the first paper to propose a new interval optimization algorithm within the context of Genetic Algorithms. This new algorithm, the Interval Genetic Algorithm (IGA), can neglect interval analysis and determines the optimum interval parameters. Furthermore, it can also effectively maximize the design scope. The optimizing ability of the IGA is tested through the interval optimization of a two-dimensional function. Then the IGA is applied to rotor-bearing systems. The results show that the IGA is effective in deriving optimal interval design parameters within the allowable error when minimizing shaft weight and/or transmitted force of rotor-bearing systems.  相似文献   

3.
交互式遗传算法(IGA)通过人机交互以用户对个体的评估代替传统的适应度函数,在艺术设计等偏向于人类主观感受的领域具有很高的应用价值和广泛的现实意义。文中针对IGA中人的疲劳问题,提出了将根据配对个体之间的相似度值自适应地确定交叉率的方法引入IGA。通过这种方法,可以提高遗传寻优计算的效率,加快IGA的收敛速度,有效缓解用户疲劳。将该方法应用于建筑造型的创新设计中,证明该方法的巨大潜力。  相似文献   

4.
为将交互式遗传算法应用于复杂的优化问题中,提出一种基于进化个体适应值灰模型预测的交互式遗传算法,为每代适应值序列建立灰模型,以衡量个体适应值评价的不确定性,通过对灰模型的灰预测,提取进化个体评价的可信度,在此基础上,给出进化个体适应值修正公式,将该算法应用于服装进化设计系统中。实验结果表明,该算法在每代都能获取更多的满意解。  相似文献   

5.
An evolutionary tabu search for cell image segmentation   总被引:3,自引:0,他引:3  
Many engineering problems can be formulated as optimization problems. It has become more and more important to develop an efficient global optimization technique for solving these problems. In this paper, we propose an evolutionary tabu search (ETS) for cell image segmentation. The advantages of genetic algorithms (GA) and TS algorithms are incorporated into the proposed method. More precisely, we incorporate "the survival of the fittest" from evolutionary algorithms into TS. The method has been applied to the segmentation of several kinds of cell images. The experimental results show that the new algorithm is a practical and effective one for global optimization; it can yield good, near-optimal solutions and has better convergence and robustness than other global optimization approaches.  相似文献   

6.
求解约束优化问题的粒子进化变异遗传算法   总被引:1,自引:0,他引:1       下载免费PDF全文
设计一种求解约束优化问题的粒子进化变异遗传算法(IGA_PSE).首先,分析候选解约束条件离差统计信息与约束违反函数之间的关系及其性质,基于约束条件离差统计信息提出一种改进约束处理方法;其次,基于粒子进化策略提出3种新变异算子;然后,讨论该算法早熟收敛的3种情况,并提出相应的种群多样化维持策略;最后,通过数值实验表明所提出的算法能够有效求解约束优化问题.  相似文献   

7.
基于多近似模型的交互式遗传算法   总被引:1,自引:0,他引:1  
人的疲劳向题是交互式遗传算法的核心问题,它制约了交互式遗传算法在复杂优化问题中的应用.为了解决该问题,本文提出基于多近似模型的交互式遗传算法.该算法首先将搜索空间划分,然后利用传统交互式遗传算法得到的数据,在不同子空间生成不同的近似模型,最后采用该模型近似人对进化个体的评价,从而减少人评价的数量,有效解决人的疲劳问题.算法性能分析及在服装进化设计系统中的应用验证了其有效性.  相似文献   

8.
基于ETAFSVM的高光谱遥感图像自动波段选择和分类   总被引:1,自引:1,他引:0  
提出了一种新型的具有良好特性的支持向量机--全间隔自适应模糊支持向量机(TAFSVM),并提出一种新的遗传算法--智能遗传算法(IGA)来设计一个TAFSVM分类器,称为ETAFSVM,同时优化高光谱遥感图像自动波段选择和TAFSVM参数集,并且结合5-fold交叉验证来确定其泛化能力,最后将ETAFSVM应用于高光谱遥感图像数据.通过先进行自适应波段选择后再用径向基神经网络分类器、K-最近邻分类器和标准支持向量机等3种方法进行全部分类精度比较,以及与这3种方法直接进行类别分类精度和平均分类精度比较,其结果表明运用ETAFSVM不仅可以自动进行波段选择,而且分类精度较高,对Hughes现象敏感性较低,是进行高光谱遥感图像分类的一种有效方法.  相似文献   

9.
While culture being the software controlling human mind, computer software development becomes one of the most creative activities that human undertake since the civilisation began. The only limitation in software creation is human imagination, and that limit is often self-imposed. The “Internetware”, referring to a software paradigm, aims to satisfy the need of human kind using Internet as an integrated development and execution platform. Such software systems are composed of entities distributed through the Internetwork, allowing connections that would be impossible or difficult to make otherwise. One of the tasks for the Internetware is to accommodate creativity, to understand the general settings of creative design process and to develop programs that can enhance creativity without necessarily being creative themselves. Therefore, it can be summarized that a development environment needs to be built to best support software creation process of six steps including searching, ideating, specifying, coding, testing and evolving. An E-Health application eco-system is used to illustrate the proposed development process model.  相似文献   

10.
Constrained global optimization is a highly important and challenging task in the field of optimization, and is embedded in many science and engineering optimizations. In this paper, an improved dynamic membrane evolutionary algorithm based on particle swarm optimization and differential evolution (IDMEA-PSO/DE) is proposed to solve constrained engineering design problems. The method combines the dynamic membrane structure of P systems and the PSO/DE search strategy. The performance of IDMEA-PSO/DE is tested on several well-known engineering design problems. The results of the simulation experiments show that the proposed algorithm is effective and outperforms other state-of-the-art-algorithms.  相似文献   

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