MULTIOBJECTIVE PIG IRON COST OPTIMIZATION USING SIMPLEX PROJECTION
نویسندگان
چکیده
منابع مشابه
Multiobjective Optimization Using Surrogates
Until recently, optimization was regarded as a discipline of rather theoretical interest, with limited real-life applicability due to the computational or experimental expense involved. Multiobjective optimization was considered as a utopia even in academic studies due to the multiplication of this expense. This paper discusses the idea of using surrogate models for multiobjective optimization....
متن کاملSearch Optimization using Multiobjective Particle Swarm Optimization
The reusability provides many benefits such as increasing productivity, Reliability & Quality along with reducing the cost &development time and if the number of components developed is not according to the requirement then the technique of reusability is of great help. The main problem faced by the CBSE in reusability is to select the component for reuse as before reusing there is need to retr...
متن کاملMultiobjective optimization using evolutionary algorithms
Evolutionary algorithms (EAs) such as evolution strategies and genetic algorithms have become the method of choice for optimization problems that are too complex to be solved using deterministic techniques such as linear programming or gradient (Jacobian) methods. The large number of applications (Beasley (1997)) and the continuously growing interest in this field are due to several advantages ...
متن کاملMultiobjective Optimization using GAI Models
This paper deals with multiobjective optimization in the context of multiattribute utility theory. The alternatives (feasible solutions) are seen as elements of a product set of attributes and preferences over solutions are represented by generalized additive decomposable (GAI) utility functions modeling individual preferences or criteria. Due to decomposability, utility vectors attached to sol...
متن کاملPareto-based Cost Simulated Annealing for Multiobjective Optimization
In this paper, a multiobjective simulated annealing (MOSA) method is introduced and discussed with the multiobjective evolutionary algorithms (MOEAs). Though the simulated annealing is a very powerful search algorithm and has shown good results in various singleobjective optimization fields, it has been seldom used for the multiobjective optimization because it conventionally uses only one sear...
متن کاملذخیره 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: Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782)
سال: 2020
ISSN: 2525-4782
DOI: 10.21575/25254782rmetg2020vol5n61348