Authors

1. M. Sasikumar

Affiliation

• Head Department of Artificial Inteligence C-DAC, Mumbai.

Abstract

Artificial intelligence as a field has always been used to solve problems which are difficult to solve through formal framworks. Use of Genetic Algorithm as a solution model with neural network design to scheduling problems are been touched featuring GA as a valuable tool for solving a number of practical complex problems discussing the issues like local optima troubles AI, Design of Evolutionary Solution, forming a population, crossover/ mating with reference to the basic GA model.

Keywords

Artificial intelligence, Genetic Algorithm

References

1. John Holland, “Genetic Algorithms”, Scientific American, July 1992.
2. Useful websites :- http://www.geneticrogramming. org/ and http:// www.illigal.ge.uiuc.edu/index/php3 (IlliGAL project) These websites provide pointers to a number of other relevant sites, current research work, applications and related areas.
3. Genetic algorithms + data structures = evolution programs. Zbigniew Michalewicz, Springer-verlag, 1992.
4. Genetic Algorithms in search, optimisation and machine learning. DE Goldberg. Addison Wesley, 1989.
5. Handbook of Genetic Algorithms. Lawrence Davis (ed). Van Nostrand Reinhold, 1991.
6. Research topics in genetic algorithms. D Beasely, DR Bull, and RR Martin. Vivek Vol 7 (2), April 1994.
7. An introudction to genetic algorithms. D Beasely, DR Bull, and RR Martin. Vivek Vol 7 (I), January 1994.