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Enhanced NSGA-II Algorithm for Solving Multi- objective Optimization Problems Using PBX Crossover and POM Mutation.
| Content Provider | CiteSeerX |
|---|---|
| Author | Golchha, Ankita Qureshi, Shahana Gajala |
| Abstract | Abstract — Non-Dominated Sorting Genetic Algorithm (NSGA-II) is an algorithm given to solve the Multi-Objective Optimization (MOO) problems. NSGA-II is one of the most widely used algorithms for solving MOO problems. The present work proposed as advancement to the existing NSGA-II. It this method, combination of crossover and mutation operators is used other than that in the original NSGA-II, and the results are compared to see if which works better. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Pom Mutation Nsga-ii Algorithm Original Nsga-ii Mutation Operator Moo Problem Present Work Abstract Non-dominated Sorting Genetic Algorithm Multi-objective Optimization |
| Content Type | Text |