Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
DNA sequence design using templates
New Generation Computing
DNASequencesGenerator: A Program for the Construction of DNA Sequences
DNA 7 Revised Papers from the 7th International Workshop on DNA-Based Computers: DNA Computing
Developing Support System for Sequence Design in DNA Computing
DNA 7 Revised Papers from the 7th International Workshop on DNA-Based Computers: DNA Computing
Stochastic Local Search Algorithms for DNA Word Design
DNA8 Revised Papers from the 8th International Workshop on DNA Based Computers: DNA Computing
A PCR-based Protocol for In Vitro Selection of Non-crosshybridizing Oligonucleotides
DNA8 Revised Papers from the 8th International Workshop on DNA Based Computers: DNA Computing
A Software Tool for Generating Non-crosshybridizing Libraries of DNA Oligonucleotides
DNA8 Revised Papers from the 8th International Workshop on DNA Based Computers: DNA Computing
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Algorithms for testing that sets of DNA words concatenate without secondary structure
Natural Computing: an international journal
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Linkage identification by fitness difference clustering
Evolutionary Computation
DNA Computing Models
Design of DNA Sequence Based on Improved Genetic Algorithm
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Randomized fast design of short DNA words
ACM Transactions on Algorithms (TALG)
An Ant Colony System for DNA sequence design based on thermodynamics
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
Opt4J: a modular framework for meta-heuristic optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing
IEEE Transactions on Evolutionary Computation
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Designing oligonucleotide strands that selectively hybridize to reduce undesired reactions is a critical step for successful DNA computing. To accomplish this, DNA molecules must be restricted to a wide window of thermodynamical and logical conditions, which in turn facilitate and control the algorithmic processes implemented by chemical reactions. In this paper, we propose a multiobjective evolutionary algorithm for DNA sequence design that, unlike preceding evolutionary approaches, uses a matrix-based chromosome as encoding strategy. Computational results show that a matrix-based GA along with its specific genetic operators may improve the performance for DNA sequence optimization compared to previous methods.