Finite Markov chain analysis of genetic algorithms
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
An introduction to genetic algorithms
An introduction to genetic algorithms
Complex Coding Systems
Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications
Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications
Hi-index | 0.00 |
The idea of Evolutionary Computing was introduced for the first time in the 1960s. It has been successfully applied to solve a variety of problems such as optimization [1,2], solving NP problems, scheduling and etc. We have found a new approach to Evolutionary Computing as "Bisected Algorithm" to which in this paper we have attended to explain it completely.