CAJ | 학술논문

为将交瓦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,以衡帚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,将该算法应用干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.
위장교와식유전산법응용우복잡적우화문제중,제출일충기우진화개체괄응치회모형예측적교호식유전산법,위매대괄응치서렬건립회모형,이형추개체괄응치평개적불학정성,통과대회모형적회예측,제취진화개체평개적가신도,재차기출상,급출진화개체괄응치수정공식,장해산법응용간복장진화설계계통중.실험결과표명,해산법재매대도능획취경다적만의해.
In order to apply the interactive Genetic Algorithm(GA)into complicated optimization problems,an Interactive GA(IGA)with grey modeling prediction for fitness of evolutionary individuals is proposed,in which the fitness uncertainty of evolutionary individuals is measured expressed by grey modeling.By predicting the grey modeling,the reliableness which reflects the measuring is abstracted.On this basis,the formulation of fitness adjustment is presented.The algorithm is applied to a fashion evolutionary design system,and experimental results show it can find more satisfactory solutions per generation.