Non-Weighted Evaluation Function in Multi-Objective Problems

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

Multi-objective and multi-constrained non-additive shortest path problems

Shortest path problems appear as subproblems in numerous optimization problems. In most papers concerning multiple objective shortest path problems, additivity of the objective is a de-facto assumption, but in many real-life situations objectives and criteria, can be non-additive. The purpose of this paper is to give a general framework for dominance tests for problems involving a number of non...

متن کامل

Quasi-Gap and Gap Functions for Non-Smooth Multi-Objective Semi-Infinite Optimization Problems

In this paper‎, ‎we introduce and study some new single-valued gap functions for non-differentiable semi-infinite multiobjective optimization problems with locally Lipschitz data‎. ‎Since one of the fundamental properties of gap function for optimization problems is its abilities in characterizing the solutions of the problem in question‎, ‎then the essential properties of the newly introduced ...

متن کامل

Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems†

Evolutionary Computation (EC) is the field of computational systems that use ideas and get inspiration from natural evolution [1]. Genetic Algorithms (GA) fall into the category of EC. GA are a type of search and optimization algorithm based on the mechanisms of genetics and natural selection. The canonical form of GA encodes each candidate solution to a given problem as a binary, integer, or r...

متن کامل

Weighted Preferences in Evolutionary Multi-objective Optimization

Abstract Evolutionary algorithms have been widely used to tackle multiobjective optimization problems. Incorporating preference information into the search of evolutionary algorithms for multi-objective optimization is of great importance as it allows one to focus on interesting regions in the objective space. Zitzler et al. have shown how to use a weight distribution function on the objective ...

متن کامل

A weighted metric method to optimize multi-response robust problems

In a robust parameter design (RPD) problem, the experimenter is interested to determine the values of con-trol factors such that responses will be robust or insensitive to variability of the noise factors. Response sur-face methodology (RSM) is one of the effective methods that can be employed for this purpose. Since quality of products or processes is usually evaluated through several quality ...

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: Asian Journal of Applied Sciences

سال: 2018

ISSN: 2321-0893

DOI: 10.24203/ajas.v6i5.5107