Evolutionary Algorithm for Optimal Vaccination Scheme
نویسندگان
چکیده
منابع مشابه
UEAS: A Novel United Evolutionary Algorithm Scheme
How to detect global optimums of the complex function is of vital importance in diverse scientific fields. Though stochastic optimization strategies simulating evolution process are proved to be valuable tools, the balance between exploitation and exploration of which is difficult to be maintained. In this paper, some established techniques to improve the performance of evolutionary computation...
متن کاملEvolutionary algorithm based heuristic scheme for nonlinear heat transfer equations
In this paper, a hybrid heuristic scheme based on two different basis functions i.e. Log Sigmoid and Bernstein Polynomial with unknown parameters is used for solving the nonlinear heat transfer equations efficiently. The proposed technique transforms the given nonlinear ordinary differential equation into an equivalent global error minimization problem. Trial solution for the given nonlinear di...
متن کاملMulti-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the interleaved multi-start scheme
The Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm (MO-GOMEA) has been shown to be a promising solver for multi-objective combinatorial optimization problems, obtaining an excellent scalability on both standard benchmarks and real-world applications. To attain optimal performance, MOGOMEA requires its two parameters, namely the population size and the number of clusters, to be ...
متن کاملSolving Multi-objective Optimal Control Problems of chemical processes using Hybrid Evolutionary Algorithm
Evolutionary algorithms have been recognized to be suitable for extracting approximate solutions of multi-objective problems because of their capability to evolve a set of non-dominated solutions distributed along the Pareto frontier. This paper applies an evolutionary optimization scheme, inspired by Multi-objective Invasive Weed Optimization (MOIWO) and Non-dominated Sorting (NS) strategi...
متن کاملOptimal Quantization: Evolutionary Algorithm vs Stochastic Gradient
We propose a new method based on evolutionary optimization for obtaining an optimal L-quantizer of a multidimensional random variable. First, we remind briefly the main results about quantization. Then, we present the classical gradient-based approach (this approach is well detailed in [2] and [7] for p=2) used up to now to find a “local” optimal L-quantizer. Then, we give an algorithm that per...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2014
ISSN: 1742-6596
DOI: 10.1088/1742-6596/490/1/012027