Buscar
Mostrando ítems 1-10 de 4349
Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
(Elsevier, 2012-11)
In this paper, a multi-objective project scheduling problem is addressed. This problem considers two conflicting, priority optimization objectives for project managers. One of these objectives is to minimize the project ...
Lazy multi-label learning algorithms based on mutuality strategies
(SpringerDordrecht, 2015-12)
Lazy multi-label learning algorithms have become an important research topic within the multi-label community. These algorithms usually consider the set of standard k-Nearest Neighbors of a new instance to predict its ...
A multi-objective memetic algorithm for the job-shop scheduling problem
(Springer, 2012-04-25)
Planning means, in the realm of production activities, to design, coordinate, manage and control all the operations involved in the production system. Many MOPs (Multi-Objective Optimization Problems) are generated in ...
Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm
The main purpose of this paper is allowing doubly fed induction generator wind farms (DFIG), which are connected to power system, to effectively participate in feeding electrical loads. The oscillation in power system is ...
Una metodología eficiente para manejo de restricciones en algoritmos evolutivos multi-objetivo
(2009-09-01)
This paper presents a new approach for solving constraint optimization problems (COP) based on the philosophy of lexicographical goal programming. A two-phase methodology for solving COP using a multi-objective strategy ...
Una metodología eficiente para manejo de restricciones en algoritmos evolutivos multi-objetivo
(2009-09-01)
This paper presents a new approach for solving constraint optimization problems (COP) based on the philosophy of lexicographical goal programming. A two-phase methodology for solving COP using a multi-objective strategy ...
A branch-and-bound algorithm for the multi-stage transmission expansion planning
(2005-10-31)
This work presents a branch-and-bound algorithm to solve the multi-stage transmission expansion planning problem. The well known transportation model is employed, nevertheless the algorithm can be extended to hybrid models ...
A branch-and-bound algorithm for the multi-stage transmission expansion planning
(2005-10-31)
This work presents a branch-and-bound algorithm to solve the multi-stage transmission expansion planning problem. The well known transportation model is employed, nevertheless the algorithm can be extended to hybrid models ...
From a single decision to a multi-step algorithm
(Current Biology, 2012-05)
Humans can perform sequential and recursive computations, as when calculating 23 × 74. However, this comes at a cost: flexible computations are slow and effortful. We argue that this competence involves serial chains of ...