The purpose of this paper is to present an approach to optimization in which every target is considered as a separate objective to be optimized. For an efficient search through the solution space we use a multiobjective genetic algorithm which allows us to identify a set of Pareto optimal solutions providing the decision maker with the complete spectrum of optimal solutions with respect to the various targets. An application is illustrated regarding the choice of the time intervals for the periodic testing of the components of the High Pressure Injection System (HPIS) of a Pressurized Water Reactor (PWR)
The research proposed in this document investigated multiobjective optimization approaches based upo...
A genetic algorithm approach suitable for solving multi-objective optimization problems is described...
This work deals with multiobjective optimization problems using Genetic Algorithms (GA). A MultiObje...
This paper investigates the problem of using a genetic algorithm to converge on a small, user-define...
This paper investigates the problem of using a genetic algorithm to converge on a small, user-define...
Abstract:- This work proposes a genetic algorithm (GA) based approach for the search of the Pareto o...
In this thesis, the basic principles and concepts of single and multi-objective Genetic Algorithms (...
Traditionally, in a multiobjective optimization problem, the aim is to find the set of optimal solut...
Optimisation is a challenge for computerized multidisciplinary design. With multidisciplinary design...
In this paper, a procedure is developed for identifying a number of representative solutions managea...
In this study, a problem space genetic algorithm (PSGA) is used to solve bicriteria tool management ...
Genetic algorithms are often well suited for multiobjective optimization problems. In this work, mul...
In this paper, we consider the problem of the optimization of the inspection intervals of the High P...
In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA)...
The design of pressurized water reactor reload cores is not only a formidable optimization problem b...
The research proposed in this document investigated multiobjective optimization approaches based upo...
A genetic algorithm approach suitable for solving multi-objective optimization problems is described...
This work deals with multiobjective optimization problems using Genetic Algorithms (GA). A MultiObje...
This paper investigates the problem of using a genetic algorithm to converge on a small, user-define...
This paper investigates the problem of using a genetic algorithm to converge on a small, user-define...
Abstract:- This work proposes a genetic algorithm (GA) based approach for the search of the Pareto o...
In this thesis, the basic principles and concepts of single and multi-objective Genetic Algorithms (...
Traditionally, in a multiobjective optimization problem, the aim is to find the set of optimal solut...
Optimisation is a challenge for computerized multidisciplinary design. With multidisciplinary design...
In this paper, a procedure is developed for identifying a number of representative solutions managea...
In this study, a problem space genetic algorithm (PSGA) is used to solve bicriteria tool management ...
Genetic algorithms are often well suited for multiobjective optimization problems. In this work, mul...
In this paper, we consider the problem of the optimization of the inspection intervals of the High P...
In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA)...
The design of pressurized water reactor reload cores is not only a formidable optimization problem b...
The research proposed in this document investigated multiobjective optimization approaches based upo...
A genetic algorithm approach suitable for solving multi-objective optimization problems is described...
This work deals with multiobjective optimization problems using Genetic Algorithms (GA). A MultiObje...