KARPAGAM Journal of Computer Science (ISSN : 0973-2926)

Parallel Genetic Algorithms - State Of The Art Survey
Authors : P.Visalakshi, T.Hamsapriya & S.N.Sivanandam

Abstract
Genetic algorithms (GAs) are powerful search techniques based on the mechanics of natural selection and natural genetics that are used successfully to solve problems in many different disciplines. In this work we review the most important existing developments in the class of Parallel Genetic Algorithms (PGAs). An exceptional characteristic of PGAs is that, they are not just the parallel version of a sequential genetic algorithm intended to provide speed gains but also represents a new kind of meta-heuristics of higher efficiency and efficacy. The good robustness of these algorithms on problems of high complexity has led to an increasing number of applications in the fields of artificial intelligence, numeric and combinatorial optimization, business, engineering, etc.