Genetic Network Programming with Evolution and Learning and Its Application to the Tileworld Problem
نویسندگان
چکیده
منابع مشابه
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Genetic Network Programming with Reinforcement Learning and Its Application to Creating Stock Trading Rules
Evolutionary Computation is well-known for producing the solutions in optimization problems based on change, composition and selection. We have proposed Genetic Network Programming (GNP) [1, 2] as an extended method of Genetic Algorithm (GA) [3, 4] and Genetic Programming (GP) [5, 6]. It has been clarified that GNP is an effective method mainly for dynamic problems since GNP represents its solu...
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هدف از این تحقیق بررسی برخی عوامل ادراکی واحساسی یعنی استفاده از شیوه های یادگیری زبان ، انگیزه ها ونگرش نسبت به زبان انگلیسی در رابطه با زمینه زبانی زبان آموزان می باشد. هدف بررسی این نکته بود که آیا اختلافی چشمگیر میان زبان آموزان دو زبانه و تک زبانه در میزان استفاده از شیوه های یادگیری زبان ، انگیزه ها نگرش و سطح مهارت زبانی وجود دارد. همچنین سعی شد تا بهترین و موثرترین عوامل پیش بینی کننده ...
15 صفحه اولGenetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improve the expression ability and performance. Since GA, GP and GNP already proposed are based on evolution and they cannot change their solutions until one generation ends, we propose GNP with Reinforcement Learning (GNP with...
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ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 2004
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.40.1105