Optimization based on bacterial chemotaxis

IEEE Transactions on Evolutionary Computation

Volumn 6, Issue 1, 2002, Pages 16-29

  Müller, Sibylle D ^a   Marchetto, Jarno ^a,b   Airaghi, Stefano ^a   Koumoutsakos, Petros ^a  

^a ETH ZURICH   (Switzerland)

^b Fantastic Corporation   (Switzerland)

Author keywords

Bacterial chemotaxis; Evolution strategies; Stochastic optimization methods

Indexed keywords

BACTERIA; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; GLOBAL OPTIMIZATION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES;

BACTERIAL CHEMOTAXIS; GLOBAL MINIMA; INVERSE AIRFOIL DESIGN; PURE RANDOM SEARCH METHOD; STOCHASTIC OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 0036465915     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/4235.985689     Document Type: Article

References (28)

1. Pareto genetic algorithm for aerodynamic design using the Navier-Stokes equations
2. Ant system for job-shop scheduling
3. Chemotaxis and optimization
4. How the brain adjusts synapses-maybe
5. Biased random-walk learning: A neurobiological correlate to trial-and-error
6. Self-organizing and learning control systems
7. Neuromine nets as the basis for predictive component of robot brains
8. Adaptive flight control systems
9. Chemotaxis in Escherichia coli analyzed by three-dimensional tracking
10. Studies of bacterial chemotaxis in defined concentration gradients-a model for chemotaxis toward 1-serine
11. The involvement of cell-to-cell signals in the development of a bacterial biofilm
12. Swarm Intelligence-From Natural to Artificial Systems
13. Optimization algorithms based on a model of bacterial chemotaxis
14. Building better test functions
15. I, λ)-CMA-ES
16. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces
17. System design by constraint adaptation and differential evolution
18. Constrained multipoint aerodynamic shape optimization using an adjoint formulation and parallel computers, part 2
19. Panel methods in computational fluid dynamics