Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)
The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)
Fuzzy system parameters discovery by bacterial evolutionary algorithm
IEEE Transactions on Fuzzy Systems
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Bacterial memetic algorithms are widely used on discrete combinatorial problems, which are essential in the field of logistics and forwarding, such as the well known Traveling Salesman Problem. The original Bacterial Evolutionary Algorithm proposed by Nawa and Furuhashi [5] has a predefined set of operators such as bacterial mutation and gene transfer also known as infection. The traditional bacterial infection operator is proven to be far from optimal. The authors suggest an alternative gene transfer operator that is applied on the metric Traveling Salesman Problem [9]. This alternative infection algorithm has superior rate of convergence while reducing the risk of getting stuck in a local optima.