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Wireless Sensor Network coverage optimization based on Yin–Yang pigeon-inspired optimization algorithm for Internet of Things
بهینه سازی پوشش شبکه حسگر بی سیم بر اساس الگوریتم بهینه سازی الهام گرفته از کبوتر یین یانگ برای اینترنت اشیا-2022 As an important technology of Internet of Things (IoT), wireless sensor network (WSN) has
the problem of low coverage caused by uneven nodes distribution. Aiming at the problem,
a WSN coverage optimization method based on the Yin–Yang pigeon-inspired optimization
algorithm (Yin–YangPIO) is proposed. Firstly, the good point set is introduced into initialization
phase which makes pigeon population more evenly distributed in the solution space; then, Yin–
Yang-pair optimization algorithm (YYPO) and pigeon-inspired optimization algorithm (PIO) are
combined, and different strategies are used in the map and compass operator and the landmark
operator to improve the optimization ability; later on, the opposition-based learning is added to
PIO to expand the search range; finally, several functions are selected to prove the optimization
ability of the Yin–YangPIO. Through three sets of WSN coverage optimization experiments with
different parameters, the effectiveness of the proposed method in WSN coverage optimization
is demonstrated.
Keywords: Wireless sensor network | Pigeon-inspired optimization algorithm | Yin–Yang-pair optimization algorithm | Opposition-based learning | Internet of Things | شبکه حسگر بی سیم | الگوریتم بهینه سازی الهام گرفته از کبوتر | الگوریتم بهینه سازی جفت یین یانگ | یادگیری مبتنی بر مخالفت | اینترنت اشیا |
مقاله انگلیسی |
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The Midsession Reversal Task with Pigeons Does a Brief Delay Between Choice and Reinforcement Facilitate Reversal Learning?
وظایف معکوس جلسه میانی با کبوترها آیا تأخیر کوتاه بین انتخاب و تقویت یادگیری معکوس را تسهیل می کند؟-2020 In a midsession reversal task, the session begins with a simple simultaneous discrimination in which one stimulus
(S1) is correct and the other stimulus (S2) is incorrect (S1+/S2-). At the midpoint of the session, the discrimination
reverses and S2 becomes the correct choice (S2+/S1-). When choosing optimally, a pigeon should
choose S1 until the first trial in which its choice is not reinforced and then it should shift to S2 (win-stay/loseshift).
With this task, pigeons have been shown to respond suboptimally by anticipating the reversal (making
anticipatory errors) and continuing to choose S1 after the reversal (making perseverative errors). This suboptimal
behavior may result from a pigeon’s relative impulsivity due to the immediacy of reinforcement following
choice. In other choice tasks, there is evidence that the introduction of a short delay between choice and
reinforcement may decrease pigeons’ impulsivity. In the present experiment, a delay was introduced between
stimulus selection and reinforcement to assess whether it results in a decrease in anticipatory and perseverative
errors. Pigeons that had a delay between choice and reinforcement were a bit slower in acquiring the midsession
reversal task compared to those without a delay, but showed no decrease in either anticipatory or perseverative
errors. It is likely that the pigeons’ natural tendency to use time from the start of the session to the reversal as a
cue to reverse prevented the delay from increasing accuracy on this task. Keywords: midsession reversal | delay | of reinforcement | attention | pigeons |
مقاله انگلیسی |