Evolutionary Computation: Toward a New Philosophy of Machine IntelligenceIEEE Press, 1995 - Всего страниц: 272 The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. |
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Стр. 109
... Traveling Salesman Problem , " Biological Cybernetics , Vol . 60 : 2 , pp . 139–144 . Fogel , D. B. ( 1991a ) . System Identification through Simulated Evolution : A Machine Learning Approach to Modeling . Needham , MA : Ginn Press ...
... Traveling Salesman Problem , " Biological Cybernetics , Vol . 60 : 2 , pp . 139–144 . Fogel , D. B. ( 1991a ) . System Identification through Simulated Evolution : A Machine Learning Approach to Modeling . Needham , MA : Ginn Press ...
Стр. 113
... Traveling Salesman Problem . " In Proc . of an Intern . Conf . on Genetic Algorithms and Their Applications , edited by J. J. Grefenstette . Hillsdale , NJ : Lawrence Erlbaum , pp . 160-168 . Hart , W. E. , and R. K. Belew ( 1991 ) ...
... Traveling Salesman Problem . " In Proc . of an Intern . Conf . on Genetic Algorithms and Their Applications , edited by J. J. Grefenstette . Hillsdale , NJ : Lawrence Erlbaum , pp . 160-168 . Hart , W. E. , and R. K. Belew ( 1991 ) ...
Стр. 157
... traveling salesman problem where the cities were uniformly spaced around a circle of radius 45 units . The objective function was chosen as the length of the tour subtracted from 1600 , with the goal , therefore , of maximizing the ...
... traveling salesman problem where the cities were uniformly spaced around a circle of radius 45 units . The objective function was chosen as the length of the tour subtracted from 1600 , with the goal , therefore , of maximizing the ...
Содержание
NATURAL EVOLUTION | 37 |
COMPUTER SIMULATION | 67 |
37 | 113 |
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Evolutionary Computation: Toward a New Philosophy of Machine Intelligence David B. Fogel Ограниченный просмотр - 2006 |
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence David B. Fogel Просмотр фрагмента - 2006 |
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence David B. Fogel Недоступно для просмотра - 2006 |
Часто встречающиеся слова и выражения
absorbing adaptive analysis Artificial Intelligence Atmar Bäck best-evolved bit mutation bit strings Bremermann chromosome coding complex components Conf Conrad convergence rate crossover Davis defection defined described distribution dynamic parameter encoding edited environment error evaluated evolution strategies evolutionary algorithms evolutionary computation Evolutionary Programming evolved expert system Figure finite state machines fitness Fogel fuzzy gene genetic algorithm genotype global optimum Gould Holland indicates individual initial input inversion iteration Jong learning Markov chain Mayr mean method Minsky Morgan Kaufmann mutual cooperation natural selection Neural Networks observed offspring operators organisms parents perceptron performance phenotypic play player pleiotropy pole population possible prediction probability problems Proc procedure random variable randomly recombination reproduction response surface samples schemata Schraudolph Schraudolph and Belew Schwefel score sequence solutions specific standard deviation stochastic symbols theoretical tion transition matrix trials two-point uniform crossover vector