May 1, 1999 · In this paper we examine two well known global search techniques, Simulated Annealing and the Genetic Algorithm, and compare their performance.

May 1, 1999 · In this paper we examine two well known global search techniques, Simulated Annealing and the Genetic Algorithm, and compare their performance.

Neural network learning is the main essence of ANN. There are many problems associated with the multiple local minima in neural networks.

"Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing," European Journal of Operational Research, Elsevier, ...

We investigate two probabilistic global search method namely Genetic algo- rithm and Simulated annealing method and a deterministic cutting angle method to find ...

Global optimization methods are capable of finding global optimal solution. In this paper we investigate and present a comparative study for the effects of ...

We investigate two probabilistic global search method namely Genetic algorithm and Simulated annealing method and a deterministic cutting angle method to find ...

Abstract. Neural network learning is the main essence of ANN. There are many problems associated with the multiple local minima in neural networks.

Abstract— This paper addresses the path selection problem from a known sender to the receiver. The proposed work shows path selection using genetic.

The aim of this work is to present two algorithms designed to optimise the cutting process of an L-type guillotine and to minimise the number of sheets used ...