• No se han encontrado resultados

Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems

N/A
N/A
Protected

Academic year: 2017

Share "Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems"

Copied!
10
0
0

Texto completo

Loading

Figure

Table 1. Test Problems

Referencias

Documento similar

In two dimensions, we have considered the prob- lem of prescribing Gaussian and geodesic curvatures on topological disks via confor- mal transformation of the metric, while we

In light of this, this paper presents the discrete–continuous optimization methodology for solving the problem of optimal integration of PV DGs in electrical networks; by implementing

The validation of the temperature drop and cooling efficiency of the cooling pad numerical model is the main objective of this paper, and, in order to get this

The validation of the temperature drop and cooling efficiency of the cooling pad numerical model is the main objective of this paper, and, in order to get this

The main contribution of this paper is a new approach for the computation of the steady state flow of mono T-semiflow reducible nets. A tight bound is obtained solving a

The structure of this paper is as follows. In Section 2, we introduce basic aspects of mobile agent technology, which is important for this work. In Section 3, we describe and model

This paper provides an optimization framework and computationally less intensive heuristics to tackle exactly the aforementioned problems. The main contributions of this work are: i)

No obstante, como esta enfermedad afecta a cada persona de manera diferente, no todas las opciones de cuidado y tratamiento pueden ser apropiadas para cada individuo.. La forma