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This paper represents the efficiency of the Ant inspired Bacterial Foraging Optimization (ABFO), the hybrid technique of Ant Colony Optimization (ACO) algorithm and Bacterial Foraging Optimization (BFO) algorithm from Bio Inspired Computing to solve the Open Shop Scheduling Problems (OSSP). The Ant inspired Bacterial Foraging Optimization (ABFO) was tested on the Open Shop Scheduling benchmark problems from the literature. The computational method of ABFO algorithm has shown improvement in finding the optimal solutions when compared with BFO algorithm for all small level test problems.
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