Genetic Algorithm - an Approach to Solve Global Optimization Problems

Journal Title: Indian Journal of Computer Science and Engineering - Year 2010, Vol 1, Issue 3

Abstract

The genetic algorithm (GA) is a search heuristic that is routinely used to generate useful solutions to optimization and search problems. It generates solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms are one of the best ways to solve a problem for which little is known. They are a very general algorithm and so work well in any search space. All you need to know is what you need the solution to be able to do well, and a genetic algorithm will be able to create a high quality solution.

Authors and Affiliations

PRATIBHA BAJPAI , DR. MANOJ KUMAR

Keywords

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  • EP ID EP102825
  • DOI -
  • Views 158
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How To Cite

PRATIBHA BAJPAI, DR. MANOJ KUMAR (2010). Genetic Algorithm - an Approach to Solve Global Optimization Problems. Indian Journal of Computer Science and Engineering, 1(3), 199-206. https://europub.co.uk/articles/-A-102825