Optimal Power Management to Minimize SER in Amplify and-Forward Relay Networks by M. Abedi, M. J Emadi

“…To this end, we present an iterative algorithm to find the optimal power rates. Finally, we study an off-line scenario in which the relays are energy harvester and equipped with infinite-sized batteries. …”
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Optimizing Vehicle Body Cross-Sections Using a Parametric Mathematical Model by Zhaohui Hu, Shuai Mo, Huang Liu, Fuhao Mo

“…Then, the stochastic gradient genetic algorithm is used to optimize the solution and determine the geometric parameters of each section. …”
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SIMULATION ANALYSIS AND OPTIMIZATION OF AIR SUSPENSION SYSTEM OF A LIGHT COMMERCIAL VEHICLE (MT) by WANG Lei, HUANG ZhaoMing, LI HaiYu, CHEN Tian

“…Finally, the ride comfort of the whole vehicle under random and impulse input is optimized through the Co-simulation platform and NSGA-Ⅱ optimization algorithm. …”
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Optimal Design Method of a Hybrid CSP-PV Plant Based on Genetic Algorithm Considering the Operation Strategy by Rongrong Zhai, Ying Chen, Hongtao Liu, Hao Wu, Yongping Yang

“…When the system is optimized by the operation characteristics of the whole year, the lowest LCOE is 0.0555 $/kWh, the rated capacity of PV and CSP system are 242.954 MW and 30 MW, respectively, and the capacity of heat storage and battery are 136.059 MWh and 8.977 MWh. …”
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Bacterial Colony Optimization by Ben Niu, Hong Wang

“…This paper investigates the behaviors at different developmental stages in Escherichia coli (E. coli) lifecycle and developing a new biologically inspired optimization algorithm named bacterial colony optimization (BCO). …”
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Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms by Jingfeng Yang, Zhenkun Zhang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang, Yu Zhang

“…In order to optimize the efficiency of mass data transmission in actual operation, this paper presented the text information (including position information) of the maximum entropy principle of a neural network probability prediction model combined with the optimized Huffman encoding algorithm, optimization from the exchange of data to data compression, transmission, and decompression of the whole process. …”
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ANFIS-optimized control for resilient and efficient supply chain performance in smart manufacturing by Mona A. AbouElaz, Bilal Naji Alhasnawi, Bishoy E. Sedhom, Vladimír Bureš

“…Also, the butterfly optimization algorithm (BOA) is proposed for obtaining optimal parameters for the ANFIS controller algorithm. …”
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Optimal Assembly Position and Multi-objective Trajectory Optimization for Dual Robotic Arms Collaboration by Wang Tianrui, Tao Ping

“…Finally, based on the optimal position of flexibility, the multi-objective particle swarm algorithm is used to optimize the trajectory with the objectives of time, energy consumption and impact; by performing simulation analysis in the Matlab robot simulation platform, the results show that, by applying the flexibility index to the trajectory planning, it can improve the operation efficiency of the robotic arm, while reducing energy consumption and impact loss, and maintain a high degree of operability during the whole motion process, effectively avoiding the randomness of the traditional manual teaching method, thus realizing the optimal flexible trajectory planning for collaborative assembly of dual robotic arms.…”
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A Multiswarm Optimizer for Distributed Decision Making in Virtual Enterprise Risk Management by Yichuan Shao, Xingjia Yao, Liwei Tian, Hanning Chen

“…We develop an optimization model for risk management in a virtual enterprise environment based on a novel multiswarm particle swarm optimizer called PS2O. …”
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Optimizing group utility in itinerary planning: a strategic and crowd-aware approach by Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim

“…For example, the Selfish Routing problem illustrates how individual decision-making can lead to suboptimal outcomes for the group as a whole. To address these challenges, we propose the Strategic and Crowd-Aware Itinerary Recommendation (SCAIR) algorithm, which integrates real-world crowd behavior into route planning to optimize group utility. …”
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Multi-energy System Planning and Configuration Study for Low-Carbon Parks Based on Comprehensive Optimization Objectives by Yang WANG, Fei LU, Ji LI, Zhukui TAN, Zongyu SUN, Wei XU, Zihong SONG, Zhenpeng LIU

“…Secondly, by taking a multi-energy system with triple supply of cooling, heating and power system coupled with ground source heat pump, energy storage, and gas boiler in a typical low-carbon park as an example, a comparative analysis was made on the configuration results and optimization speed with different optimization algorithms, and a study was conducted on the impacts of different optimization objectives such as optimal comprehensive optimization objective and lowest whole life-cycle cost and energy consumption on the capacity optimization configuration results and typical daily operation situation. …”
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D-OPTIMAL DESIGNS FOR SPLIT-PLOT MIXTURE PROCESS VARIABLE DESIGNS OF THE STEEL SLAG EXPERIMENT by Faula Arina, Aji Hamim Wigena, I Made Sumertajaya, Utami Syafitri

“…The five mixture components were assigned as the subplot factors and the process variable was assigned as the whole plot factors. The main objective of this information is a modified point exchange algorithm was developed to generate the D-optimal design. …”
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Adaptive Bacterial Foraging Optimization by Hanning Chen, Yunlong Zhu, Kunyuan Hu

“…Bacterial Foraging Optimization (BFO) is a recently developed nature-inspired optimization algorithm, which is based on the foraging behavior of E. coli bacteria. …”
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Congestion Influence on Optimal Bidding in a Competitive Electricity Market using Particle Swarm Optimization by OICC Press Authors

“…In this paper, the bidding strategy problem with congestion management is modeled as an optimization problem and solved using Particle Swarm Optimization (PSO).  …”
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Synchronous Optimization for Demand-Driven Train Operation Plan in Rail Transit Network Using Nondominated Sorting Coevolutionary Memetic Algorithm by Zhenyu Han, Dewei Li, Baoming Han, Han Gao

“…Considering the entire network as a whole, researchers have realized that synchronous optimization is of great significance. …”
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Design and Optimization of a Droop Controller to Fix the Frequency of a Microgrid System Using the Gray wolf Algorithm with Stability Analysis by Zhi Yuan, Ji Li

“…Then, using the gray wolf optimization algorithm, the parameters of the microgrid, including the Droop control parameters, are optimized. …”
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Real-Time Optimal Control Strategy for Multienergy Complementary Microgrid System Based on Double-Layer Nondominated Sorting Genetic Algorithm by Min Mou, Yuhao Zhou, Wenguang Zheng, Zhongping Zhang, Da Lin, Dongdong Ke

“…Because of the problems of low operation efficiency and poor energy management of multienergy input and output system with complex load demand and energy supply, this paper uses the double-layer nondominated sorting genetic algorithm to optimize the multienergy complementary microgrid system in real-time, allocating reasonably the output of each energy supply end and reducing the energy consumption of the system on the premise of meeting the demand of cooling, thermal and power load, so as to improve the economy of the whole system. …”
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Design and implementation of J2EE-based statement feature recognition in English teaching system optimization by Lina Wang

“…Optimize the load balancing algorithm on the basis of cloud computing technology, and improve the teaching service providing ability of online teaching system based on J2EE. …”
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UWB Base Station Deployment Optimization Method Considering NLOS Effects Based on Levy Flight-Improved Particle Swarm Optimizer by Shengliang Wang, Ming Gao, Ling’ai Li, Dong Lv, Yingqi Li

“…In this paper, we propose a new UWB BS deployment optimization method that takes into account the influence of NLOS occlusion, determines the BS deployment range and occlusion by indoor map information, uses the locatable points coverage rate in the whole indoor positioning area as the fitness function, and proposes an improved particle swarm optimization algorithm based on the Levy flight strategy (LPSO) to solve the optimization problem. …”
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The Construction of an Universal Linearized Control Flow Graph for Static Code Analysis of Algorithms by V. A. Bitner, N. V. Zaborovsky

“…The practical usefulness of the graph considered is the existence of the fast and optimal search of the unique execution paths that is valuable in the methods of static code analysis of algorithms for race condition search. …”
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