Search Results - ADAPTIVE ALGORITHMS

Adaptation of Software’s Modeling Algorithms by S. D. Zhilkin

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Adaptive algorithms for shaping behavior. by William L Tong, Venkatesh N Murthy, Gautam Reddy

“…Near-optimal algorithms track learning rate to adaptively alternate between simpler and harder tasks. …”
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Self-selection of evolutionary strategies: adaptive versus non-adaptive forces by Matthew Putnins, Ioannis P. Androulakis

Subjects: “…Genetic algorithms…”
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Robust adaptive beamforming algorithm by SONG Xin, WANG Jin-kuan, LIU Fu-lai, WANG Bin

“…The performance of least mean squares（LMS） algorithm degraded dramatically in the presence of even slight steering vector mismatches.In order to overcome the shortage,a novel robust adaptive beamforming algorithm based on the variable diagonal loading technique was proposed.The signal steering vector was obtained via the gradient-descent method and the diagonal loading term was incorporated at each recursive step.Then,the optimal weight vector was de-rived.To account for the contradiction of convergence rate and steady errors,a function between the step size and input signals was built to obtain the variable step size.The proposed algorithm had a low complexity cost without the inverse matrix and eigendecomposition.The proposed algorithm offered faster convergence rate,provided a sufficient robustness against the mismatches and made the mean output array SINR consistently close to the optimal one.The theoretical analysis and simulation results demonstrate that the performance of the proposed algorithm can outperform that of the conventional algorithm.…”
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Robust adaptive beamforming algorithm by SONG Xin, WANG Jin-kuan, LIU Fu-lai, WANG Bin

“…The performance of least mean squares（LMS） algorithm degraded dramatically in the presence of even slight steering vector mismatches.In order to overcome the shortage,a novel robust adaptive beamforming algorithm based on the variable diagonal loading technique was proposed.The signal steering vector was obtained via the gradient-descent method and the diagonal loading term was incorporated at each recursive step.Then,the optimal weight vector was de-rived.To account for the contradiction of convergence rate and steady errors,a function between the step size and input signals was built to obtain the variable step size.The proposed algorithm had a low complexity cost without the inverse matrix and eigendecomposition.The proposed algorithm offered faster convergence rate,provided a sufficient robustness against the mismatches and made the mean output array SINR consistently close to the optimal one.The theoretical analysis and simulation results demonstrate that the performance of the proposed algorithm can outperform that of the conventional algorithm.…”
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Adam Algorithm with Step Adaptation by Vladimir Krutikov, Elena Tovbis, Lev Kazakovtsev

“…Adam (Adaptive Moment Estimation) is a well-known algorithm for the first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments. …”
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An Adaption of the Jaynes Decision Algorithm by Vlad Tarko

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Application of Adaptive Algorithms on Ultrasound Imaging by Maryam Idrees, Hafiza Faheela, Faizan Ahsan Wali

“…In this paper, we compared the least mean square algorithm, the quaternion least mean square algorithm, and the normalized least mean square algorithm for ultrasound image processing. …”
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Distinguishing Byproducts from Non-Adaptive Effects of Algorithmic Adaptations by Justin H. Park

“…This distinction can be problematic when investigating algorithmic mechanisms and their effects, because although all byproducts may be functionless concomitants of adaptations, not all incidental effects of algorithmic adaptations are byproducts (although they have sometimes been labeled as such). …”
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Indoor RFID localization algorithm based on adaptive bat algorithm by Liangbo XIE, Yuyang LI, Yong WANG, Mu ZHOU, Wei NIE

Subjects: “…adaptive bat algorithm…”
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Indoor RFID localization algorithm based on adaptive bat algorithm by Liangbo XIE, Yuyang LI, Yong WANG, Mu ZHOU, Wei NIE

Subjects: “…radio frequency identification;indoor location algorithm;tent reverse learning;adaptive bat algorithm…”
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Self-Adaptive Step Firefly Algorithm by Shuhao Yu, Shanlin Yang, Shoubao Su

“…In order to avoid falling into the local optimum and reduce the impact of the maximum of iteration, a self-adaptive step firefly algorithm is proposed in the paper. …”
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Improved Adaptive Komodo Mlipir Algorithm by Qixuan Liu, Xiaoyi Zhang

Subjects: “…Komodo Mlipir Algorithm…”
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Nonvariational ADAPT algorithm for quantum simulations by Ho Lun Tang, Yanzhu Chen, Prakriti Biswas, Alicia B. Magann, Christian Arenz, Sophia E. Economou

“…We compare this nonvariational algorithm with ADAPT-VQE and with feedback-based quantum algorithms in terms of the rate of energy reduction, the circuit depth, and the measurement cost in molecular simulation. …”
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An adaptive Cuckoo search algorithm for optimisation by M. Mareli, B. Twala

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Chaotic Adaptive Quantum Firefly Algorithm by LIU Xiaonan, AN Jiale, HE Ming, SONG Huichao

“…In order to improve the search performance of quantum firefly algorithm(QFA) and solve the problem that it is easy to fall into local optimality when facing some problems,an improved QFA with chaotic map,neighborhood search and adaptive random disturbance is proposed,named chaos adaptive quantum firefly algorithm(CAQFA).In this algorithm,chaotic map is applied to the initialization stage of the population to improve the quality of the initial population.In the update stage,the neighborhood search is carried out for the optimal individual of the current population to enhance the ability of the algorithm to jump out of the local optimization.The introduction of adaptive random disturbance to other individuals increases the randomness of the algorithm and achieves a balance between the exploration and development of search space,so as to improve the performance of the algorithm.Eighteen different types of benchmark functions are selected to test the performance of the algorithm.The test results show that CAQFA has better search ability,stability and strong competitiveness compared with firefly algorithm(FA),QFA and quantum particle swarm optimization(QPSO).…”
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An Adaptive Fusion Algorithm for Depth Completion by Long Chen, Qing Li

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Opposition-Based Adaptive Fireworks Algorithm by Chibing Gong

“…An adaptive fireworks algorithm (AFWA) proposes additional adaptive amplitudes to improve the performance of the enhanced fireworks algorithm (EFWA). …”
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A Novel Adaptive Algorithm Addresses Potential Problems of Blind Algorithm by Muhammad Yasin, Muhammad Junaid Hussain

“…It is a two-stage adaptive filtering algorithm and based on least mean square (LMS) algorithm followed by CMA. …”
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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm by XILiang, WANGRui dong

Subjects: “…genetic algorithms…”
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