A Comprehensive System to Support Decision Making in Highly Complex Project Portfolio Situations by Efrain Solares, Eduardo Fernandez, Carlos A. Coello Coello, Xochitl Segura Lozano, Reimundo Moreno-Cepeda, Raymundo Diaz

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Fleet Size and Mix Vehicle Routing Problem (FSMVRP), Adapted Large Neighbourhood Search Heuristic Optimization ProposalWith a Plant-capacity and Multi-day Planning Algorithm: A Liv... by Alperen Ekrem Çelikdin

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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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Investigation of The Effect of Feeding Period in Honey Bee Algorithm by Mustafa Kaya

“…As a result, the analysis results showed that the performance of the artificial bee colony algorithm is very good while solving too complex engineering optimization problems.…”
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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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A Bat Algorithm with Mutation for UCAV Path Planning by Gaige Wang, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang

“…Path planning for uninhabited combat air vehicle (UCAV) is a complicated high dimension optimization problem, which mainly centralizes on optimizing the flight route considering the different kinds of constrains under complicated battle field environments. …”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…However, current mainstream QAS algorithms typically perform both global and local searches simultaneously, which can result in high search space complexity and optimization challenges. …”
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Solution Algorithms for the Capacitated Location Tree Problem with Interconnections by Nidia Mendoza-Andrade, Efrain Ruiz-y-Ruiz, Suemi Rodriguez-Romo

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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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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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Hardware implementation of RSA encryption algorithm based on pipeline by Yang Longfei, Lu Shi, Peng Kuang

“…Experimental results on a Xilinx XC7K410T FPGA development board demonstrate that while maintaining encryption speed, the hardware resources used by the improved RSA encryption algorithm are only half of those of the previous parallel structure and can operate at higher frequencies.…”
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Error Covariance Analyses for Celestial Triangulation and Its Optimality: Improved Linear Optimal Sine Triangulation by Abdurrahim Muratoglu, Halil Ersin Söken, Uwe Soergel

“…While current methods like Linear Optimal Sine Triangulation (LOST) provide statistically optimal solutions for position estimation using multiple celestial body observations, their performance can be compromised by suboptimal measurement pair selection. …”
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DMS Algorithm in the Application of the Map/Reduce Tasks Schedule by PEI Shu-jun, KONG De-kai, MIAO Hui

“…The whole efficiency of traditional task scheduling algorithms is low under the cloud environment, In order to improve the whole efficiency of the task scheduling, this article based on Map/Reduce presents a Difference Matrix Scheduling tasks schedule algorithm based on processing time. …”
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Cost-optimal sizing of battery energy storage systems in microgrids using artificial Rabbits optimization by Riwa Q. Momani, Ahmad Abuelrub, Hussein M.K. Al-Masri, Ali Q. Al-Shetwi

“…This paper presents a cost-optimal sizing framework for Battery Energy Storage Systems (BESS) in grid-connected microgrids using the Artificial Rabbits Optimization (ARO) algorithm. …”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…To overcome these limitations and enhance solution quality, this study proposes a novel Hybrid Grey Wolf-Particle Swarm Optimization (HGWPSO) algorithm. HGWPSO integrates the exploration ability of GWO with the rapid convergence and exploitation efficiency of PSO. …”
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Swarm Behaviour Optimisation Methods Based on an Original Algorithm by Krzysztof FALKOWSKI, Michał DUDA

“…This article presents an authorial swarm algorithm that performs coverage tasks using the Sweep Coverage method. …”
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Real time interpolation algorithm based on Lanczos kernel by Ying GUO, Lun LI, Peng WANG

“…In order to improve the timeliness and reliability of color image scaling algorithms,a high effective real-time color image scaling algorithm was proposed,which first generated the kernel look up table that could be used for whole target image based on Lanczos kernel,and interpolation of all target image pixels had only fixed point operation which had low computational complexity.Meanwhile,an optimized method for rasterizing pixels of target image was proposed,which needed little memory space but embraced high efficiency of memory utilization.The experiment results show that the proposed algorithm achieves good image quality,and the computational complexity is far more less than classic image scaling algorithms.So the proposed algorithm can effectively implement real-time resizing of color images and color videos in any scaling factors.…”
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Optimization of load frequency control using grey wolf optimizer in micro hydro power plants by Irvandy Ilza Novendra, I Made Wirawan, Arya Kusumawardana, Aung Ko Latt

“…This research proposes the application of the grey wolf optimizer (GWO) algorithm to optimize the PID controller parameters for MHPP LFC. …”
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Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization by H. Ye, H. Ye, Z. Niu, Z. Niu, D. Han, D. Han, X. Su, X. Su, W. Chen, W. Chen, G. Tu, G. Tu, T. Zhu, T. Zhu

“…<p>Aiming at the difficult problem of comprehensive scale design of the six-bar mechanism in engineering practice, kinematic and dynamic analysis and modeling of the Watt-II six-bar mechanism were carried out and combined with the particle swarm optimization (PSO) algorithm, the size optimization model of the Watt-II six-bar mechanism was established, and the size optimization of the Watt-II six-bar mechanism was completed. …”
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An empirical study of the naïve REINFORCE algorithm for predictive maintenance by Rajesh Siraskar, Satish Kumar, Shruti Patil, Arunkumar Bongale, Ketan Kotecha, Ambarish Kulkarni

“…Abstract Reinforcement Learning (RL) is a biologically inspired, autonomous machine learning method. RL algorithms can help generate optimal predictive maintenance (PdM) policies for complex industrial systems. …”
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