• Prateek
• Dr. Rainu Nandal

In this research paper Optimization and Optimization Techniques are quickly clarified and a definite perspective of Genetic Algorithm is given.This heuristic is consistently utilized to make valuable answers for enhancement and pursuit issues.In the paper a point by point depiction of GA is given including the general terms, steps to finish GA, algorithm, applications and limitations. Hybridization in GA is required in light of the fact that dissimilar to other pursuit and enhancement methods, a genetic algorithm guarantees meeting yet not optimality, not even that it will discover nearby maxima. GA's are visually impaired streamlining agents which don't utilize any helper data, for example, subordinates or other particular information about the extraordinary structure of the goal function.In the event that there is such information, be that as it may it is impulsive and wasteful not to make utilization of it. In this way, there is a need emerges for hybridization of GA. In Introduction part a concise portrayal is given about hybridization of GA including its need and after that another hybridized procedure Memetic Algorithm is likewise described.In this theory analyst purposes to expel one of the confinements of GA i.e worried about the meeting speed.

Evolutionary Algorithm (EA), Genetic Algorithm (GA), Hybridization, Hybrid Genetic Algorithm

"Understanding Hybridization In Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.980-983, February-2018, Available :http://www.jetir.org/papers/JETIR1802174.pdf

"Understanding Hybridization In Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp980-983, February-2018, Available at : http://www.jetir.org/papers/JETIR1802174.pdf