* This work has been partially supported by Spanish Project TIC2003-9319-c03-03 “Neural Networks and Networks of Evolutionary Processors”.In this paper a computational mode is presented base on DNA molecules. This model incorporates the theoretical simulation of the principal operations in genetic algorithms. It defines the way of coding of individuals, crossing and the introduction of the individuals so created into the population. It resolves satisfactorily the problems of fitness coding. It shows also the model projection for the resolution of TSP. This is the basic step that will allow the resolution of larger examples of search problems beyond the scope of exact exponentially sized DNA algorithms like the proposed by Adleman [Adleman, ...
. Genetic algorithms, DNA computing, and in vitro evolution are brie#y discussed. Elements of these...
Genetic algorithm (GA) is inspired by biological evolution of genetic organisms by optimizing the ge...
This chapter first presents the interrelations between computing and genetics, which both are based ...
In this paper it is explained how to solve a fully connected N-City travelling salesman problem (TSP...
In this paper we propose a model of encoding data into DNA strands so that this data can be used in ...
Computation based on manipulation of DNA molecules has the potential to solve problems with massive ...
DNA computation is to use DNA molecules for information storing and processing. The task is accompli...
Genetic algorithm is one of the possible ways to break the limit of brute-force method in DNA comput...
DNA computation is to use DNA molecules for information storing and processing. Challenges currently...
Genetic algorithms, DNA computing, and in vitro evolution are briefly discussed. Elements of these a...
This book provides a broad overview of the entire field of DNA computation, tracing its history and ...
DNA computing appeared in the literature in 1994 when Leonard Adleman suggested to solve an NP-compl...
In this paper I present a new model that employs a biological (specifically DNA -based) substrate f...
DNA Computing aims to harness the molecules at the Nano level for computational purpose. DNA Computi...
The aim of this report is to make a review on DNA computing: molecular biology is used to suggest a...
. Genetic algorithms, DNA computing, and in vitro evolution are brie#y discussed. Elements of these...
Genetic algorithm (GA) is inspired by biological evolution of genetic organisms by optimizing the ge...
This chapter first presents the interrelations between computing and genetics, which both are based ...
In this paper it is explained how to solve a fully connected N-City travelling salesman problem (TSP...
In this paper we propose a model of encoding data into DNA strands so that this data can be used in ...
Computation based on manipulation of DNA molecules has the potential to solve problems with massive ...
DNA computation is to use DNA molecules for information storing and processing. The task is accompli...
Genetic algorithm is one of the possible ways to break the limit of brute-force method in DNA comput...
DNA computation is to use DNA molecules for information storing and processing. Challenges currently...
Genetic algorithms, DNA computing, and in vitro evolution are briefly discussed. Elements of these a...
This book provides a broad overview of the entire field of DNA computation, tracing its history and ...
DNA computing appeared in the literature in 1994 when Leonard Adleman suggested to solve an NP-compl...
In this paper I present a new model that employs a biological (specifically DNA -based) substrate f...
DNA Computing aims to harness the molecules at the Nano level for computational purpose. DNA Computi...
The aim of this report is to make a review on DNA computing: molecular biology is used to suggest a...
. Genetic algorithms, DNA computing, and in vitro evolution are brie#y discussed. Elements of these...
Genetic algorithm (GA) is inspired by biological evolution of genetic organisms by optimizing the ge...
This chapter first presents the interrelations between computing and genetics, which both are based ...