evolutionary programming การใช้

• Fogel, too, uses evolutionary programming, but he does not test designs with Legos.
• He is known as the inventor of active noise cancellation and the father of evolutionary programming.
• While at Convair during 1961-1965, Fogel explored evolutionary programming for time-series prediction.
• :I had a program that needed to do this a while back ( it was for evolutionary programming ).
• If you wish to simplify the debate into a dichotomy, I suggest innate evolutionary programming vs . concious forethought.
• Koza was featured in Popular Science for his work on evolutionary programming that alters its own code to find far more complex solutions.
• Evolutionary programming was introduced by Lawrence J . Fogel in the US, while John Henry Holland called his method a genetic algorithm.
• These terminologies denote the field of evolutionary computing and consider evolutionary programming, evolution strategies, genetic algorithms, and genetic programming as sub-areas.
• It is mostly connected to the theme in complex system, emergence, Monte Carlo method, computational sociology, multi-agent system, and evolutionary programming.
• In 1965, Fogel left General Dynamics to form a new company, Decision Science, Inc . in San Diego, specifically for applications of evolutionary programming.
• Tree-like representations are explored in genetic programming and graph-form representations are explored in evolutionary programming; a mix of both linear chromosomes and trees is explored in gene expression programming.
• His awards include the Lifetime Achievement Award of the Evolutionary Programming Society ( US, 1995 ) and the Evolutionary Computation Pioneer Award of the IEEE Neural Networks Society ( US, 2002 ).
• Dr . John Koza, an expert in evolutionary programming who is president of Genetic Programming, in Los Altos, Calif ., cited many examples of automatically created solutions that were competitive with results produced by people.
• Topics of interest include : genetic algorithms, genetic programming, evolution strategies, evolutionary programming, memetic algorithms, hyper-heuristics, evolutionary robotics, real-world applications, evolutionary machine learning, evolvable hardware, artificial life, amongst others.
• CEC, which is organized by the IEEE Computational Intelligence Society in cooperation with the Evolutionary Programming Society, covers most subtopics of EC, such as Evolutionary robotics, Multiobjective optimization, Evolvable hardware, Theory of evolutionary computation, Evolutionary design etc . Papers can also be found that deal with topics which are related to rather than part of EC, such Ant colony optimization, Swarm intelligence and Quantum computing.