Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Ant Colony Optimization
A hybrid genetic algorithm and bacterial foraging approach for global optimization
Information Sciences: an International Journal
Stability of the chemotactic dynamics in bacterial foraging optimization algorithm
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Adaptive computational chemotaxis in bacterial foraging optimization: an analysis
IEEE Transactions on Evolutionary Computation
On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A micro-bacterial foraging algorithm for high-dimensional optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A bacterial evolutionary algorithm for automatic data clustering
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Transmission loss reduction based on FACTS and bacteria foraging algorithm
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
A novel model for bacterial foraging in varying environments
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation
IEEE Transactions on Evolutionary Computation
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences: an International Journal
Controller parameter optimization for nonlinear systems using enhanced bacteria foraging algorithm
Applied Computational Intelligence and Soft Computing
2DOF PID controller tuning for unstable systems using bacterial foraging algorithm
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
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In his seminal paper published in 2002, Passino pointed out how individual and groups of bacteria forage for nutrients and how to model it as a distributed optimization process, which he named the Bacterial Foraging Optimization Algorithm (BFOA). One of the major operators of BFOA is the reproduction phenomenon of virtual bacteria, each of which models one trial solution of the optimization problem. During reproduction, the least healthy bacteria (with a lower accumulated value of the objective function in one chemotactic lifetime) die and the other healthier bacteria each split into two, which then starts exploring the search place from the same location. The phenomenon has a direct analogy with the selection mechanism of classical evolutionary algorithms. This paper attempts to model reproduction as a dynamics and then analyses the stability of the reproductive system very near to an equilibrium point, which in this case is an isolated optimum. It also finds conditions under which a stable reproduction event can take place, to direct a worse bacterium towards a better one. Our analysis reveals that a stable reproduction event contributes to the quick convergence of the bacterial population near optima.