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- David B. Fogel
- 1995
Many people are trying to be smarter every day. How's about you? There are many ways to evoke this case you can find knowledge and lesson everywhere you want. However, it will involve you to get what… (More)
- David B. Fogel
- IEEE Trans. Neural Networks
- 1994
Natural evolution is a population-based optimization process. Simulating this process on a computer results in stochastic optimization techniques that can often outperform classical methods of… (More)
- Bruce M. Boghosian, Frank Blondale, +36 authors S. Viswanathan
- 2004
Solution Concepts in Coevolutionary Algorithms A dissertation presented to the Faculty of the Graduate School of Arts and Sciences of Brandeis University, Waltham, Massachusetts by Sevan Gregory… (More)
- Kumar Chellapilla, David B. Fogel
- IEEE Trans. Evolutionary Computation
- 2001
An evolutionary algorithm has taught itself how to play the game of checkers without using features that would normally require human expertise. Using only the raw positions of pieces on the board… (More)
Intelligence pertains to the ability to make appropriate decisions in light of specific goals and to adapt behavior to meet those goals in a range of environments. Mathematical games provide a… (More)
- Daniel K. Gehlhaar, Gennady M Verkhivker, +4 authors Stephan T. Freer
- Chemistry & biology
- 1995
BACKGROUND
An important prerequisite for computational structure-based drug design is prediction of the structures of ligand-protein complexes that have not yet been experimentally determined by… (More)
- Charles Kissinger, Daniel K. Gehlhaar, David B. Fogel
- Acta crystallographica. Section D, Biological…
- 1999
A new procedure for molecular replacement is presented in which an efficient six-dimensional search is carried out using an evolutionary optimization algorithm. In this procedure, a population of… (More)
- Kumar Chellapilla, David B. Fogel
- IEEE Trans. Neural Networks
- 1999
An experiment was conducted where neural networks compete for survival in an evolving population based on their ability to play checkers. More specifically, multilayer feedforward neural networks… (More)
- David B. Fogel
- Evolutionary Computation
- 1993
Evolutionary programming experiments are conducted to investigate the conditions that promote the evolution of cooperative behavior in the iterated prisoner's dilemma. A population of logical… (More)
- David B. Fogel
- 1994
Evolutionary programming is a stochastic optimization procedure that can be applied to difficult combinatorial problems. Experiments are conducted with three standard optimal control problems… (More)