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Adaptive Bacterial Foraging Optimization
Abstract and Applied Analysis
Bacterial Foraging Optimization (BFO) is a recently developed nature-inspired optimization algorithm, which is based on the foraging behavior ofE. colibacteria. Up to now, BFO has been applied successfully to some engineering problems due to its simplicity and ease of implementation. However, BFO possesses a poor convergence behavior over complex optimization problems as compared to other nature-inspired optimization techniques. This paper first analyzes how the run-length unit parameter of BFOdoi:10.1155/2011/108269 fatcat:olrx2wxlb5dahjvrddqygeczwa