[PDF] Top 20 Hybridizing an immune artificial algorithm with epsilon constrained method
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Hybridizing an immune artificial algorithm with epsilon constrained method
... identify the decision variables of the problem), 2) a proliferation level (number of clones assigned to the cell when it has to proliferate) and 3) a differentiation level (number of decision variables that will be ... See full document
10
Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
... proposed an algorithm based on the clonal selection theory for solving constrained optimization ...experimented with both binary and real-value representation, considering Gaussian-distributed ... See full document
10
Solving constrained optimization using a T-Cell artificial immune system
... Genetic Algorithm (GA) and an AIS for solving constrained optimization ...identical. An interesting aspect of this work was that the infeasible individuals would normally become feasible as a ... See full document
12
Normalizacion de RT-PCR
... only method for measuring mRNA levels of vivo low copy number targets of interest for which alternative assays either do not exist or lack the required ...measuring an internal reference or housekeeping ... See full document
6
Implementation of a modified domain reduction technique as an engineering tool for site response analysis: method validation and verification under incident SH waves
... combination with a high performance numerical solver in order to obtain ground motions for a specified region and under a variety of ...is an increasing need to develop and explore alternative solution ... See full document
52
A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
... Algorithm 1 SA Algorithm including a call to an exploration procedure.[r] ... See full document
10
Global numerical optimization with a bi-population particle swarm optimizer
... reached with Bi-PSO (for all function except: f3, f4, f5, f8 and f9), are not statistically significant from those of ...comparable with respect a ... See full document
12
Immune algorithm for solving the smooth economic dispatch problem
... The algorithm works in the following way (see Al- gorithm 1). First, the TCRs are randomly initial- ized within the limits of the units (Step 1). Then, ECV and ICS are calculated for each cell (Step 2). Only if a ... See full document
6
Immune algorithm for solving the smooth economic dispatch problem
... However, the running times are also compared in an indirect manner, to give at least a rough idea of the complexities of the different algorithms considered in our comparative study. For all test problems IA EDP S ... See full document
10
Artificial immune system for solving global optimization problems
... of an artificial immune system (AIS), based on the process that suffers the ...approach with a set of test functions taken from the specialized literature and we also compare our results ... See full document
11
An evaluation of the effortless approach to build algorithm animations with WinHIPE
... this algorithm; these ideas were: (1) operations with lists, (2) left-to-right direction in tree traversing, and (3) accumulation of recursive operations with ... See full document
5
Time-Frequency Transforms for Classification of Power Quality Disturbances
... different algorithm classifiers, a BP and PNN, so it can be affirmed that is more important designing a properly and suitable pattern that the election of the ...classifier algorithm can do its expected ... See full document
18
AMSOM : artificial metaplasticity in SOM neural networks: Application to MIT-BIH arrhythmias database
... The artificial metaplasticity on multilayer perceptron supervised gradient-descent learning algorithm (AMMLP) tries to improve backpropagation algorithm (BPA) by including a variable [r] ... See full document
8
Revista Ingeniería Investigación y Tecnología | Facultad de Ingeniería UNAM
... b) Immune System (sistema inmune). El área de sistemas inmunes artificiales (SIA) está relacionada con los mé- todos computacionales inspirados en el sistema in- muno-biológico de los organismos, principalmente el ... See full document
12
An evaluation of the effortless approach to build algorithm animations with WinHIPE
... Constructing an animation entails the students deciding if a snapshot is relevant enough to be in the animation, this requires a deeper knowledge of the ...Viewing an animation just ask the students to ... See full document
12
An overview of algorithm strategies
... Placing 30 queens in a 30x30 chessboard so that no queen attacks any other.. Summary Backtracking[r] ... See full document
45
A level set method for artificial compressibility with pressure based residual smoothing
... employs an unsteady Reynolds-averaged Navier-Stokes (URANS) turbulence closure in regions near solid walls, while large-eddy simulation (LES) is used in the rest of the ... See full document
55
Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs
... of an instance at different steps of the search. In [97] an apprenticeship learning hyperheuristic is proposed for vehicle ...as an expert, the authors follow a learning approach that yields various ... See full document
20
From metaheuristics to learnheuristics: Applications to logistics, finance, and computing
... costs, an upper limit on the total number of stocks purchased, and a limit on the incurred transaction costs using exact methods (mixed-integer linear programming ...implementing an immunity-based ... See full document
181
TítuloA comparison of optimization techniques for power patterns with low sidelobes generated by linear arrays with efficient excitation distributions
... CLS method for differing sidelobe ...obtained with the SA approach could be reduced by adding a corresponding term in the cost function (3), penalizing that ...obtained with the CLS implementation, ... See full document
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