In this paper, the meta-heuristic multi-objective elitist teaching–learning based optimization technique is implemented for wind farm layout discrete problem. The of addresses optimum siting among turbines within to accomplish economical, profitable, and technical features. presented methodology with problem through different targets such as minimizing cost, power output maximization, saving nu...

Student evaluation is an essential part of education and is done through the system of examinations. Examinations generally use question papers as an important component to determine the quality of the students. Examination question paper generation is a multi-constraint concurrent optimization problem. Question papers generated with random and backtracking algorithms are inefficient in handlin...

Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( ) computational complexity (where is the number of objectives and is the population size); 2) nonelitism approach; and 3) the need for specifying a sharing parameter. In this paper, we suggest a nondominated sorting-based multiobjective EA (MOEA), called nondominate...

A method is proposed for finding decision boundaries, approximated by piecewise linear segments, for the classification of patterns in R 2, using an elitist model of a genetic algorithm. It involves the generation and placement of a set of lines (represented by strings) in the feature space that yields minimum misclassification. The effectiveness of the algorithm is demonstrated, for different ...

This paper presents a GA algorithm for function optimization that combines the features of Simplex crossover and Simulated Aannealing. Hybridization with a local search tool like Simplex directs the GA to more promising search spaces while preventing premature local minima convergence. The use of Simulated Annealing(SA) as a mutation operator further enhances the GA's overall capability. This e...

This article addresses the problem of redundancy and reliability allocation in the operational dimensioning of an automated production system. The aim of this research is to improve the global reliability of the system by allocating alternative components (redundancies) that are associated in parallel with each original component. By considering a complex componential approach that simultaneous...

In this paper mathematical programming problems with fuzzy constraints are dealt with. Fuzzy solutions are obtained by means of a parametric approach in conjunction with evolutionary techniques. Some relevant characteristics of the evolutionary algorithm are for instance a real-coded representation of solutions and the preselection scheme as niche formation and elitist technique. Three test pro...