Bio-inspired approach to solve chemical equations

No abstract is available for this paper.

• Publication year

  2013

• Venue

  International Conference on Contemporary Computing

• Publication date

  2013-09-26

• Fields of study

  Chemistry, Computer Science

• Identifiers
  DOI 10.1109/IC3.2013.6612240
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Quantum computers

  2010cited by this paper
• Visualization Tools for Organic Chemistry

  2009cited by this paper
• A VRML Virtual Chemistry Laboratory Incorporating Reusable Prototypes for Object Manipulation

  2005cited by this paper
• An Introduction to Genetic Algorithms.

  1997cited by this paper
• Genetic algorithms: A robust scheme for geometry optimizations and global minimum structure problems

  1995cited by this paper
• Using a Genetic Algorithm To Suggest Combinatorial Libraries

  1995cited by this paper
• Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships

  1994cited by this paper
• Using genetic algorithms for solving heavy-atom sites.

  1994cited by this paper
• De novo protein design using pairwise potentials and a genetic algorithm

  1994cited by this paper
• Genetic algorithms for docking of actinomycin D and deoxyguanosine molecules with comparison to the crystal structure of actinomycin D-deoxyguanosine complex

  1994cited by this paper
• Application of genetic algorithms in the field of constitutional similarity

  1992cited by this paper
• Genetic Algorithms in Search

  1989cited by this paper
• Genetic Algorithms in Search Optimization and Machine Learning

  1988cited by this paper

• An Intelligent Approach for Virtual Chemistry Laboratory

  2019cites this paper
• A Soft Computing Approach for Targeted Product Promotion on Social Networks

  2016cites this paper