Suchergebnisse - Parallel chaotic particle swarm genetic algorithm

A calibration framework for distributed hydrological models considering spatiotemporal parameter variations von Liu, Yunping, Gao, Yuqin, Wu, Ming, Jan van Andel, Schalk, Gao, Li, Tan, Xilan

“… This study addresses these issues by first parallelizing the chaotic particle swarm genetic algorithm (CPSGA …”
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Parameter Estimation of Fractional-Order Chaotic Systems by Using Quantum Parallel Particle Swarm Optimization Algorithm von Huang, Yu, Guo, Feng, Li, Yongling, Liu, Yufeng

“… A novel algorithm called quantum parallel particle swarm optimization (QPPSO) is proposed to solve the parameter estimation for fractional-order chaotic systems …”
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A Chaotic Parallel Artificial Fish Swarm Algorithm for Water Quality Monitoring Sensor Networks 3D Coverage Optimization von Zhou, Jie, Qi, Guohong, Liu, Changzheng

“… To optimize the 3D coverage of underwater targets, this research proposes a chaotic parallel artificial fish swarm algorithm (CPAFSA …”
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Clone Chaotic Parallel Evolutionary Algorithm for Low-Energy Clustering in High-Density Wireless Sensor Networks von Yang, Rui, Xu, Mengying, Zhou, Jie

“… In this work, a new cloned chaotic parallel evolution algorithm (CCPEA) is proposed, and a low-energy clustering model is established to lower the communication energy consumption of HDWSNs …”
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Optimal chiller loading by improved parallel particle swarm optimization algorithm for reducing energy consumption von Gao, Zhikun, Yu, Junqi, Zhao, Anjun, Hu, Qun, Yang, Siyuan

“… Aimed at the optimal chiller loading problem in parallel chillers system, an improved parallel particle swarm optimization (IPPSO …”
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A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications von Zhang, Yudong, Ji, Genlin, Wang, Shuihua

“… Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995 …”
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Chaotic Multi-Objective Particle Swarm Optimization Algorithm Incorporating Clone Immunity von Sun, Ying, Gao, Yuelin, Shi, Xudong

“… Thus, a chaotic multi-objective particle swarm optimization approach incorporating clone immunity (CICMOPSO …”
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Automatic Console Image Processing Aided by Improved Particle Swarm Computing Intelligent Algorithm von Chen, Mujun

“… The search range and search position of the particle are closely related to the shrinkage-expansion factor of the particle and the value of the center of the potential well …”
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A swarm optimization approach for flexible flow shop scheduling with multiprocessor tasks von Singh, Manas Ranjan, Mahapatra, S. S.

“… FFSP is known to be NP-hard. In this study, we present a particle swarm optimization (PSO …”
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Parallel chaotic bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy von Vivek, Yelleti, Ravi, Vadlamani, Krishna, P. Radha

“… , (i) parallel chaotic non-dominated sorting algorithm (P-C-NSGA-II-IS), (ii) parallel chaotic non-dominated sorting particle swarm optimization (P-C-NSPSO-IS), and (iii …”
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An Extended Tissue-like P System Based on Membrane Systems and Quantum-Behaved Particle Swarm Optimization for Image Segmentation von Wang, Lin, Liu, Xiyu, Qu, Jianhua, Zhao, Yuzhen, Jiang, Zhenni, Wang, Ning

“… An extended membrane system using a tissue-like P system with evolutional symport/antiport rules and a promoter/inhibitor, which is based on the evolutionary mechanism of quantum-behaved particle swarm optimization (QPSO …”
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GPU Implementation of DPSO-RE Algorithm for Parameters Identification of Surface PMSM Considering VSI Nonlinearity von Liu, Zhao-Hua, Wei, Hua-Liang, Zhong, Qing-Chang, Liu, Kan, Li, Xiao-Hua

“… ) is established by taking into account voltage-source-inverter (VSI) nonlinearity. A fast dynamic particle swarm optimization (DPSO …”
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A parallel chaotic sailfish optimization algorithm for estimation of DOA in wireless sensor array von P., Geetha, Nanda, Satyasai Jagannath, Yadav, Rajendra Prasad

“… In order to make accurate non-linear ML-DOA estimation, simultaneously reducing the computational complexity involved in the process evolutionary algorithms are employed in this manuscript …”
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Comparing four metaheuristics for solving a constraint satisfaction problem for ship outfitting scheduling von Rose, Christopher Daniel, Coenen, Jenny M.G.

“… The examined methods are genetic algorithms (GA), simulated annealing (SA), genetic simulated annealing (GSA …”
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Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm von Feng, Zhong-kai, Niu, Wen-jing, Cheng, Chun-tian

“… an important role in water resource and power systems. Thus, the parallel multi-objective genetic algorithm is introduced to effectively resolve this multi-objective …”
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Developing a Novel Hybrid Biogeography-Based Optimization Algorithm for Multilayer Perceptron Training under Big Data Challenge von Zhang, Le, Yu, XianPing, Chen, ShanXiong, Pu, Xun

“… MLPs have been successfully applied to solve a wide range of problems in the fields of neuroscience, computational linguistics, and parallel distributed processing …”
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A mutative-scale pseudo-parallel chaos optimization algorithm von Yuan, Xiaofang, Dai, Xiangshan, Wu, Lianghong

“… Chaos optimization algorithms (COAs) utilize the chaotic map to generate the pseudo-random sequences mapped as the decision variables for global optimization applications …”
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A modified gravitational search algorithm based on a non-dominated sorting genetic approach for hydro-thermal-wind economic emission dispatching von Chen, Fang, Zhou, Jianzhong, Wang, Chao, Li, Chunlong, Lu, Peng

“… To solve the SHTW-EED problem with complex constraints, a modified gravitational search algorithm based on the non-dominated sorting genetic algorithm-III (MGSA-NSGA-III) is proposed …”
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A hybrid evaluation model for flight performance based on bacterial foraging and Elman network von Wu, Qi, Chen, Xi, Ren, He, Wei, Chuanfeng, Zhang, wenxin, Liu, Dongnan, Xie, Hongcai, Chen, Mingjian

“… Other bio-inspired algorithms such as genetic algorithm (GA), particle swarm optimization (PSO …”
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Multiobjective Parallel Chaos Optimization Algorithm with Crossover and Merging Operation von Li, Qingxian, Yuan, Xiaofang, Liu, Liangjiang

“… Chaos optimization algorithm (COA) usually utilizes chaotic maps to generate the pseudorandom numbers mapped as the decision variables for global optimization problems …”
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