Breast cancer is the second most common cancer after cervical cancer prevailing among women in India. Early breast cancer detection through regular mammography screening is an important factor in breast cancer survival as screen detected cancers are most likely to be diagnosed with more favorable prognostic factors than symptom detected cancers. Feature selection helps to reduce the feature space which improves the prediction accuracy and minimizes the computation time. The selected optimal features are considered for classification. Grey Wolf Optimization (GWO) is recently developed heuristics inspired from the leadership hierarchy and hunting mechanism of grey wolves in nature. In this work, hybrid Genetic Algorithm Grey Wolf Optimization (GA-GWO) and Artificial Bee Colony Grey Wolf Optimization (ABC-GWO) is proposed.