Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An empirical study is performed on the local-optimum space of graph bipartitioning.  examine some statistical features of the fitness landscape. They include the cost-distance correlations and the properties around the central area of local optima. The study revealed some new notable results about the properties of the fitness landscape; e.g., the central area yielded fairly good quality in the local-optimum space.  performed an experiment on a spectrum of different exploitation strengths of the central areas. From the results, it seems attractive to exploit the central area, but excessive or insufficient exploitation is not desirable.
['Yong-Hyuk Kim', 'Byung Ro Moon']
I am writing a research paper on a idea Investigation of the fitness landscapes and multi-parent crossover for graph bipartitioning
[{"from": "human", "value": "I am writing a research paper on a idea Investigation of the fitness landscapes and multi-parent crossover for graph bipartitioning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An empirical study is performed on the local-optimum space of graph bipartitioning.  examine some statistical features of the fitness landscape. They include the cost-distance correlations and the properties around the central area of local optima. The study revealed some new notable results about the properties of the fitness landscape; e.g., the central area yielded fairly good quality in the local-optimum space.  performed an experiment on a spectrum of different exploitation strengths of the central areas. From the results, it seems attractive to exploit the central area, but excessive or insufficient exploitation is not desirable."}]