The convergence and the diversity are two main goals of an evolutionary algorithm for many-objective optimization problems. However, achieving these two goals simultaneously is the difficult and challenging work for multi-objective evolutionary algorithms. A uniform evolutionary algorithm based on decomposition and the control of dominance area of solutions (CDAS) is proposed to achieve these t...

Lot streaming, is an effective technique to increase production efficiency in a productive system by splitting job into several smaller parts overlap operations between successive machines multi-stage system. In this paper, hybrid flow shop scheduling problem with lot learning effect and buffer's limitation considered. A bi-objective mathematical model presented for minimizing the total tardine...

In this study a new and robust procedure is presented to solve synthesis of isothermal reactor networks (RNs) which considers more than one objective function. This <span style="font-size: 9pt; color: #0...

RESUMO Neste trabalho foi desenvolvido um modelo multiobjetivo para otimização da operação de sistemas distribuição água (SDAs), visando alcançar a eficiência hidroenergética considerando três objetivos: redução das perdas por vazamento; do custo energia elétrica no bombeamento; e maximização confiabilidade sistema. O concebido pela implementação uma rotina computacional entre os algoritmos gen...

This study presents an Expert System specially designed to be used with Multiobjective Evolutionary Algorithms (MOEAs) for the solution of the portfolio selection problem. The validation of the proposed hybrid System is done by using data sets from Hang Seng 31 in Hong Kong, DAX 100 in Germany and FTSE 100 in UK. The performance of the proposed system is assessed in comparison with the Non-domi...

An approach to construct multiple interpretable and precise fuzzy systems based on the Pareto Multi-objective Cooperative Coevolutionary Algorithm (PMOCCA) is proposed in this paper. First, a modified fuzzy clustering algorithm is used to construct antecedents of fuzzy system, and consequents are identified separately to reduce computational burden. Then, the PMOCCA and the interpretability-dri...

This paper introduces HOMI, a Higher Order Mutation based approach for Genetic Improvement of software, in which the code modification granularity is finer than in previous work while scalability remains. HOMI applies the NSGAII algorithm to search for higher order mutants that improve the non-functional properties of a program while passing all its regression tests. Experimental results on fou...

Many of the problems that arise in production systems can be handled with multiobjective techniques. One of those problems is that of scheduling operations subject to constraints on the availability of machines and buffer capacity. In this paper we analyze different Evolutionary multiobjective Algorithms (MOEAs) for this kind of problems. We consider an experimental framework in which we schedu...