Study on Optimal Design for Synchronizer by Zhang Yong, Huang Mingli, Wu Xuncheng, Zhang Juecheng, Zhang Tao

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COMBINATORIAL TECHNIQUE FOR OPTIMIZING THE COMBINATION by Chinnaraji Annamalai, Junzo Watada, Said Broumi, Vishnu Narayan Mishra

Subjects: “…Optimized combination, combinatorics, counting technique, binomial coefficient…”
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Optimal International Division of Labour by Thieß Petersen

“…As long as the marginal costs and marginal benefi ts associated with the international division of labour stick to standard economic theory, there is an optimal degree of this division for every economy. …”
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Cooperative Bacterial Foraging Optimization by Hanning Chen, Yunlong Zhu, Kunyuan Hu

“…Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. …”
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Variational Inequalities and Vector Optimization by Jian-Wen Peng, Nan-Jing Huang, Xue-Xiang Huang, Jen-Chih Yao

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An Improved Cockroach Swarm Optimization by I. C. Obagbuwa, A. O. Adewumi

“…An improved cockroach swarm optimization (ICSO) is proposed in this paper. The performance of the proposed algorithm is tested on well known benchmarks and compared with the existing CSO, modified cockroach swarm optimization (MCSO), roach infestation optimization RIO, and hungry roach infestation optimization (HRIO). …”
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Stochastic Optimization: Theory and Applications by Bin Wang, Lotfollah Najjar, Neal N. Xiong, Rung Ching Chen

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Optimizing concrete crack detection an echo state network approach with improved fish migration optimization by Zhichun Fang, Xiuhong Wang, Jiaojiao Gao, Behrooz Eskandarpour

Subjects: “…Improved fish migration optimization…”
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Optimization of Wind Turbine Airfoil Using Nondominated Sorting Genetic Algorithm and Pareto Optimal Front by Ziaul Huque, Ghizlane Zemmouri, Donald Harby, Raghava Kommalapati

“…A Computational Fluid Dynamics (CFD) and response surface-based multiobjective design optimization were performed for six different 2D airfoil profiles, and the Pareto optimal front of each airfoil is presented. …”
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Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

Subjects: “…Expensive constrained optimization problems…”
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A Novel Optimal Control Method for Impulsive-Correction Projectile Based on Particle Swarm Optimization by Ruisheng Sun, Qiao Hong, Gang Zhu

“…This paper presents a new parametric optimization approach based on a modified particle swarm optimization (PSO) to design a class of impulsive-correction projectiles with discrete, flexible-time interval, and finite-energy control. …”
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Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm by Yin Andong, Zhang Yu, Zhang Bingzhan, Zhao Han, Wang Ruofei

“…A newly developed plug-in hybrid electric vehicle is taken as research object and the vehicle simulation model is built by using CRUISE on the basis of completing the match of transmission parameters and control strategy design.An optimization model of plug-in HEV parameters is set up,applying optimization software Isight to integrate with CRUISE model.The constraints of the model are the designed power performance and the objective function is the fuel consumption and emission performance.The particle swarm optimization is applied to optimize the transmission system parameters and the control strategy parameter simultaneously.Compared the simulation results demonstrate that fuel consumption per hundred kilometer of PHEV is reduced by 12.5%and equivalent fuel consumption is reduced by 10.7% under UDDS driving cycle after optimization.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Topology optimization design of wing rib based on bi-directional evolutionary structural optimization method by HUANG Chenglei, FAN Qingming, LIU Hongjun, YU Boya

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Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning by Xiao-bo SHI, Yin ZHANG, Shan ZHAO, Deng-ming XIAO

“…Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime.…”
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Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm by Guojun Chen, Xiangdong Qin, Ningsheng Fang, Wenbo Xu

“…Biogeography-based optimization (BBO) is widely used in the field of cluster intelligent optimization because its search method has a better incentive mechanism for population evolution. …”
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Optimal Design and Performance Analysis for the Multistage Transmission System of Dispatch Winch based on Volume Optimization by Zhang Xi, Li Bingwen, Hao Ya, Liu Yufei

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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

“…Classification of big data needs an effective and efficient metaheuristic search algorithm to find the optimal feature subset. Cat swarm optimization (CSO) is a novel metaheuristic for evolutionary optimization algorithms based on swarm intelligence. …”
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Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search by Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

Subjects: “…Multiplayer battle game optimizer (MBGO)…”
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Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms by Argyros Maris

Subjects: “…biogeography-based optimization…”
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