A Method of Multiobjective Genetic Algorithms

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Genetic Algorithms for Multiobjective Controller Design

Multiobjective optimization strategy so-called Physical Programming allows controller designers a flexible way to express design preferences with a ’physical’ sense. For each objective (settling time, overshoot, disturbance rejection, etc.) preferences are established through categories as desirable, tolerable, unacceptable, etc. assigned to numerical ranges. The problem is translated into a un...

متن کامل

Multiobjective Robust Design by Genetic Algorithms

One key feature of Japanese products is that their design quality is robust—it remains unaffected by the deleterious impact of environmental or other factors often beyond the user’s control. As a result, designing and producing such high-quality products have become the challenge for all manufacturers aspiring to be world-class in today’s marketplace. This article shows how expressly crafted ge...

متن کامل

Dynamic Uniform Scaling for Multiobjective Genetic Algorithms

Before Multiobjective Evolutionary Algorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further investigation. One of these issues is how a uniform distribution of solutions along the Pareto non-dominated front can be obtained for badly scaled objective functions. This is especially a problem if the bounds for ...

متن کامل

Genetic Search Algorithms to Fuzzy Multiobjective Games: a Mathematica Implementation

Genetic stochastic search algorithms (GAs) have soon demonstrated their helpful contribution for finding solutions to the complex real-life optimization problems. These algorithms have been applied extensively for solving Nash equilibria of fuzzy bimatrix games with single objective. The experience shows the ability of the GAs to find solutions to equivalent nonlinear programming problems, with...

متن کامل

Interpolation of the Pareto Optimal Solution in Multiobjective Genetic Algorithms

Proposal in this paper is a method of interpolating the pareto optimal solution in Multiobjective Genetic Algorithms. In this method, some vacancies are maked up by resuming computation of Multiobjective Genetic Algorithms. A beginning field is set up by variables of both sides of the vacancy. Then, computation of Multiobjective Genetic Algorithms is started from the beginning field again. Visu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers

سال: 2002

ISSN: 0453-4654

DOI: 10.9746/sicetr1965.38.87