Tomo antraštė: 15th International conference on information and software technologies, IT 2009 : Kaunas, April 23-24, 2009Applied optimization in process design or optimal control frequently is a multi-criteria problem. There are several approaches to the solution of multi-criteria problems, but the main approach is oriented to construct the Pareto set of the considered problem. In case of nonlinear models this problem is difficult especially if the objective functions are multimodal. Therefore application of parallel methods to solution of this problem is urgent. In the present paper efficiency of several evolutionary algorithms is compared taking into account their parallelization using multi-start model and implementation perspectives on...
Multi-Objective Optimization Problems (MOPs) deal with optimizing several objectives simultaneously ...
Parallel Computing 30 (2004) 721–739 This paper deals with the study of the cooperation between para...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
International audienceThis paper describes a unified view of parallel evolutionary algorithms for mu...
In this paper, we investigate the problem of optimal control of complex multistage chemical reaction...
In the present work we study the options for parallelization of evolutionary algorithms for multiobj...
This paper presents a multiple reference point approach for multi-objective optimization problems of...
This thesis presents the development of new methods for the solution of multiple objective problems....
This paper presents an evolutionary algorithm employing differential evolution to solve nonlinear op...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
The use of Evolutionary Algorithms (EAs) in difficult problems, where the search space is unknown, u...
International audienceThis paper presents a multiple reference point approach for multi-objective op...
This paper deals with the study of the cooperation between parallel processing and evolutionary comp...
This paper presents a multiple reference point approach for multi-objective optimization problems of...
Multi-Objective Optimization Problems (MOPs) deal with optimizing several objectives simultaneously ...
Parallel Computing 30 (2004) 721–739 This paper deals with the study of the cooperation between para...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
International audienceThis paper describes a unified view of parallel evolutionary algorithms for mu...
In this paper, we investigate the problem of optimal control of complex multistage chemical reaction...
In the present work we study the options for parallelization of evolutionary algorithms for multiobj...
This paper presents a multiple reference point approach for multi-objective optimization problems of...
This thesis presents the development of new methods for the solution of multiple objective problems....
This paper presents an evolutionary algorithm employing differential evolution to solve nonlinear op...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
The use of Evolutionary Algorithms (EAs) in difficult problems, where the search space is unknown, u...
International audienceThis paper presents a multiple reference point approach for multi-objective op...
This paper deals with the study of the cooperation between parallel processing and evolutionary comp...
This paper presents a multiple reference point approach for multi-objective optimization problems of...
Multi-Objective Optimization Problems (MOPs) deal with optimizing several objectives simultaneously ...
Parallel Computing 30 (2004) 721–739 This paper deals with the study of the cooperation between para...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...