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Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 254-260 doi: 10.1007/s11708-014-0302-1

Abstract: The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power qualityThe conventional binary firefly algorithm was modified by using quantum principles to attain a fasterThe effectiveness of the proposed method was verified by applying the algorithm to an IEEE 118-bus transmissionsystem and by comparing the algorithm with others of its kind.

Keywords： quantum-inspired binary firefly algorithm     topological monitor reach area     power quality    

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Reversible binary subtractor design using quantumdot-cellular automata Article

Jadav Chandra DAS, Debashis DE

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1416-1429 doi: 10.1631/FITEE.1600999

Abstract: In the field of nanotechnology, quantum dot-cellular automata(QCA) is the promising archetype that canQCA-based reversiblelogic circuits, but still not much work has been reported on QCA-basedreversible binaryThe QCA building block of theDG gate is used to achieve new reversible binary subtractors.Theproposed reversible subtractors have low quantum cost and garbageoutputs compared to the existing

Keywords： Quantum dot-cellular automata (QCA)     Reversible logic     DG gate     Binary subtractor     Quantum cost    

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Combined heat and power economic dispatch problem using firefly algorithm

Afshin YAZDANI, T. JAYABARATHI, V. RAMESH, T. RAGHUNATHAN

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 133-139 doi: 10.1007/s11708-013-0248-8

Abstract: This paper applies the firefly algorithm, which is inspired by the behavior of fireflies which attract

Keywords： combined heat and power (CHP) economic dispatch     meta-heuristic algorithm     firefly algorithm     cogeneration    

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A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   Pages 329-346 doi: 10.1007/s11709-022-0801-9

Abstract: The proposed algorithm integrates machine learning with a new version of the firefly algorithm calledchaotic based firefly algorithm (CFA) to evolve a rational and efficient predictive model.The CFA optimizer is augmented with chaotic maps and Lévy flight to improve the firefly performance ink-fold cross validation algorithm is utilized to validate the hybrid algorithm.Results show that the developed CFA approach significantly outperforms the firefly algorithm on almost

Keywords： chloride penetrability     recycled aggregate concrete     machine learning     concrete components     durability    

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Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 108-112

Abstract:

The determinations of the rotation phase of quantum gates and mutation probability are the two mainissues that restrict the efficiency of quantum genetic algorithm.This paper presents a quantum real coding genetic algorithm（QRGA）.QRGA used an adaptive means to adjust the direction and the size of the rotation angle of quantum rotationComparative experimental results show that the algorithm can avoid falling into part optimal solution

Keywords： quantum encoding     quantum genetic algorithm     frog leaping algorithm     swarm intelligence    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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Study on Algorithm A* Based on Dynamic Representation of Binary Tree for Environment and Robotic

Tang Ping,Yang Yimin

Strategic Study of CAE 2002, Volume 4, Issue 9,   Pages 50-53

Abstract:

This paper deals with a way of representing dynamic environment based on binary-tree.A new algorithm A* , which plans the path of soccer robots in complicated environments isWith the soccer game's environments represented by dynamic binary-tree, optimal results were obtained

Keywords： dynamic binary-tree     algorithm A*     path planning    

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A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 490-503 doi: 10.1007/s11708-014-0311-0

Abstract: dispatch is formulated into a bi-objective optimization problem, two objectives with two algorithms, fireflyalgorithm for optimization the fuel cost, pollutant emissions and the real genetic algorithm for minimizationIn this paper the new approach (firefly algorithm-real genetic algorithm, FFA-RGA) has been applied to

Keywords： economic power dispatch (EPD)     firefly algorithm (FFA)     real genetic algorithm (RGA)     hybrid method    

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Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Strategic Study of CAE 2014, Volume 16, Issue 8,   Pages 106-112

Abstract:

The binary artificial bee colony algorithm has the shortcomings of slowerAccording to the defects, a modified binary artificial bee colony algorithm is proposed.The algorithm redesign neighborhood search formula in artificial bee colony algorithm, the probabilityThe modified algorithm was used for solving multidimensional knapsack problem, during the evolution processThe simulation results show the feasibility and effectiveness of the proposed algorithm.

Keywords： artificial bee colony algorithm     multidimensional knapsack problem     greedy algorithm     combinatorial optimization    

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Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 133-144 doi: 10.15302/J-SSCAE-2022.04.016

Abstract: While proposing a quantum algorithm that calls the given oracle only once to find the hidden binary stringIn 2016, Farhi et al. proposed a quantum approximate optimization algorithm (QAOA) based on the VQE algorithmalgorithm is discretized.A quantum algorithm designs the process for solving specific problems using a quantum computer and mustcan be executed on hardware, such as quantum assembly, binary executables, and waveform data, is generated

Keywords： quantum computation     quantum algorithm     control system of quantum computation     quantum software     superconductingquantum computation     distributed quantum computation     trapped-ion quantum computation     silicon-basedquantum computation     photonic quantum computation     neutral atom quantum computation     nitrogen-vacancycolor center in diamond     nuclear magnetic resonance quantum computation     quantum computation with spinwave     topological quantum computation    

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Dolphin swarm algorithm Article

Tian-qi WU,Min YAO,Jian-hua YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 717-729 doi: 10.1631/FITEE.1500287

Abstract: , artificial bee colony algorithm, and ant colony optimization.named the ‘dolphin swarm algorithm’ in this paper.in the algorithm, which are the search phase, call phase, reception phase, and predation phase.swarm optimization, genetic algorithm, and artificial bee colony algorithm.The results show that in most cases, the dolphin swarm algorithm performs better.

Keywords： Swarm intelligence     Bio-inspired algorithm     Dolphin     Optimization    

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Binary Optics Used in High Power Laser Shaping

Jin Guopan,Tan Qiaofeng,Yan Yingbai,Wu Minxian

Strategic Study of CAE 2000, Volume 2, Issue 6,   Pages 27-32

Abstract:

The principle of binary optics used for beam shaping is introduced.basis of the analysis of GS and YG algorithms, three algorithms are developed for phase design of the BinaryOptical Element (BOE), including Global/local united searching algorithm (GLUSA), hybrid algorithm combiningHill-climbing with Simulated Annealing and its multi-resolution algorithm.that fine phase structure and good characters of the focused spot are realized by using the hybrid algorithm

Keywords： beam shaping     binary optics     phase element     optimization algorithm    

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Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1718-1727 doi: 10.1007/s11705-023-2319-7

Abstract: Herein, an effective and robust photocatalyst perylene-3,4,9,10-tetracarboxylic diamide/boron nitride quantum

Keywords： PDI     boron nitride     quantum dots     photocatalysis     hole transfer    

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Binary neural networks for speech recognition Regular Papers

Yan-min QIAN, Xu XIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 701-715 doi: 10.1631/FITEE.1800469

Abstract: In this work, binary neural networks for speech recognition are developed to reduce the computationalA fast implementation of binary matrix multiplication is introduced.floating-point model to the compressed binary model is explored.Experiments on the standard Switchboard speech recognition task show that the proposed binary neuralWith the knowledge distillation from the normal floating-point models, the binary DNNs or binary convolutional

Keywords： Speech recognition     Binary neural networks     Binary matrix multiplication     Knowledge distillation     Population    

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Optimized deployment of a radar network based on an improved firefly algorithm Regular Papers

Xue-jun ZHANG, Wei JIA, Xiang-min GUAN, Guo-qiang XU, Jun CHEN, Yan-bo ZHU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 425-437 doi: 10.1631/FITEE.1800749

Abstract: To address these issues, we propose an improved firefly algorithm that employs a neighborhood learningMoreover, a chaotic sequence is used to generate initial firefly positions to improve population diversityResults indicate that our approach achieves much better performance than the classical firefly algorithm

Keywords： Improved firefly algorithm     Radar surveillance network     Deployment optimization     Unmanned aerial vehicle    

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Title Author Date Type Operation

Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Journal Article

Reversible binary subtractor design using quantumdot-cellular automata

Jadav Chandra DAS, Debashis DE

Journal Article

Combined heat and power economic dispatch problem using firefly algorithm

Afshin YAZDANI, T. JAYABARATHI, V. RAMESH, T. RAGHUNATHAN

Journal Article

A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Journal Article

Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

Study on Algorithm A* Based on Dynamic Representation of Binary Tree for Environment and Robotic

Tang Ping,Yang Yimin

Journal Article

A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Journal Article

Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Journal Article

Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Journal Article

Dolphin swarm algorithm

Tian-qi WU,Min YAO,Jian-hua YANG

Journal Article

Binary Optics Used in High Power Laser Shaping

Jin Guopan,Tan Qiaofeng,Yan Yingbai,Wu Minxian

Journal Article

Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Journal Article

Binary neural networks for speech recognition

Yan-min QIAN, Xu XIANG

Journal Article

Optimized deployment of a radar network based on an improved firefly algorithm

Xue-jun ZHANG, Wei JIA, Xiang-min GUAN, Guo-qiang XU, Jun CHEN, Yan-bo ZHU

Journal Article