Deep insight from simple models of evolution

BioSystems

Volumn 64, Issue 1-3, 2002, Pages 189-198

  Schwefel, H P ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

Auto adaptation; Evolutionary algorithms; Groping in the dark; Hillclimbing; Internal model of the environment; Requisite variety; Survival of the fittest

Indexed keywords

EVOLUTION;

ACCURACY; ADAPTATION; ALGORITHM; ARTICLE; COMPUTER SIMULATION; EVOLUTION; GENETIC REGULATION; INFORMATION PROCESSING; LEARNING; MODEL;

EID: 0036137714     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0303-2647(01)00186-1     Document Type: Article

References (30)

1. A new method of constrained optimization and a comparison with other methods
2. Numerical optimization procedures derived from biological evolution processes
3. A discussion of random methods for seeking maxima
4. Self-organization of matter and the evolution of biological macromolecules
5. Memorial Tribute to Dr Michael Conrad
6. Mutation control and convergence in evolutionary multi-objective optimization
7. Models of evolution
8. Dynamics of technological evolution: Random walk model for the research enterprise
9. A simplex method for function minimization
10. Self-adaptation and global convergence: A counter-example
11. Adaptive step size random search
12. On natural life's tricks to survive and evolve