Application of Graph Theory and Variants of Greedy Graph Coloring Algorithms for Optimization of Distributed Peer-to-Peer Blockchain Networks by Miljenko Švarcmajer, Denis Ivanović, Tomislav Rudec, Ivica Lukić

“…The research findings suggest that adapting network configuration using greedy algorithms can contribute to the optimization of distributed systems, making them more stable and resilient to loads.…”
Get full text

Improved multiverse optimizer‐based anti‐saturation model free adaptive control and its application to manipulator grasping systems by Shida Liu, Zhen Li, Jiancheng Li, Honghai Ji, Jingquan He

“…The improved algorithm demonstrates more competitive optimization performance compared to the traditional multiverse optimizer. …”
Get full text

Low Carbon Economic Dispatch of Power System Based on Multi-Region Distributed Multi-Gradient Whale Optimization Algorithm by Linfei Yin, Yongzi Ye, Xiaoping Xiong, Jiajia Chai, Hanzhong Cui, Haoyuan Li

“…This study establishes a multi-region distributed optimization model and combines the multi-region distributed optimization model with a multi-gradient optimization algorithm to propose a multi-region distributed multi-gradient whale optimization algorithm (MRDMGWOA). …”
Get full text

Improving the Control Strategy of the DVR Compensator Based on an Adaptive Notch Filter with an Optimized PD Controller Using the IGWO Algorithm by Mohammed M. Alrashed, Aymen Flah, Masoud Dashtdar, Claude Ziad El-Bayeh, Mohamed F. Elnaggar

“…This article presents a DVR control scheme optimized with improved grey wolf optimization (IGWO) that uses a proportional derivative (PD) controller and adaptive notch filter (ANF). …”
Get full text

Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems by Nawaf Mijbel Alfadli, Eman Mostafa Oun, Ali Wagdy Mohamed

“…To further reduce the risk of premature convergence, an adaptive local search strategy is embedded, facilitating the algorithm’s escape from local traps and guiding it toward more optimal regions within the search domain. …”
Get full text

Adaptive Throughput Optimization in Multi-Rate IEEE 802.11 WLANs via Multi-Agent Deep Reinforcement Learning by Ming-Chu Chou, Cheng-Feng Hung, Chin-Ya Huang, Chih-Heng Ke

Get full text

Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates by Ahmed Maged, Aly Abdelalim, Abdelaziz Farouk A. Mohamed

“…Therefore, this study explores the efficiency of generative design tools in optimizing tree distribution based on mutation evolution to enhance outdoor thermal comfort, providing a dynamic, iterative approach that adapts to diverse urban morphologies. …”
Get full text

Optimal Configuration of Multi-microgrid System with Multi-agent Joint Investment Based on Stackelberg Game by Ruiyuan PAN, Zhong TANG, Chenhao SHI, Minjie WEI, An LI, Weiyang DAI

“…Then, a Stackelberg game model is built to minimize the payoff function of the multi-microgrid system and maximize the revenue of distribution networks separately. In addition, an algorithm combining the adaptive genetic algorithm and particle swarm optimization is proposed to solve the optimal configuration of distributed power in the multi-microgrid system. …”
Get full text

An Enhanced Starfish Optimization Algorithm via Joint Strategy and Its Application in Ultra-Wideband Indoor Positioning by Yu Liu, Maosheng Fu, Zhengyu Liu, Huaiqing Liu, Wei Peng, Ling Li, Yang Yang, Xiancun Zhou, Chaochuan Jia

“…The starfish optimization algorithm (SFOA) is a metaheuristic evolutionary intelligence algorithm with a great global search capability and strong adaptability. …”
Get full text

Cognitive Agent-Based Modeling to Optimize Complex Project Management Under Uncertainty by Liliana M. Pantoja-Rojas, Marco A. Alzate-Monroy, Vactor H. Medina-Garcaa, Luis G. Moreno-Sandoval

“…The proposed model serves as a useful framework for examining how task distribution, talent retention, and interaction patterns can be optimized, and it opens the door to future developments involving more advanced cognitive modeling techniques.…”
Get full text

A percolation theory analysis of continuous functional paths in protein sequence space affirms previous insights on the optimization of proteins for adaptability. by Brian J Miller

Get full text

Optimal Allocation and Sizing of Electrical Substations Using an Improved Black Widow Algorithm by Nathan de Oliveira Valim, Clainer Bravin Donadel

“…Four scenarios with varying load center distributions were tested to assess the algorithm’s adaptability and performance. …”
Get full text

Formation control method for multiple flight vehicles based on adaptive dynamic programming by Jie XIAO, Qingpu TANG, Jiale LI, Guofei LI

“…Reinforcement learning theory has emerged as a powerful approach to solving optimal control problems in nonlinear systems. The theory’s ability to learn and adapt to dynamic environments makes it particularly well-suited for UAV control. …”
Get full text

Q-learning-based exponential distribution optimizer with multi-strategy guidance for solving engineering design problems and robot path planning by Fengbin Wu, Shaobo Li, Junxing Zhang, Liya Yu, Xuan Xiong, Libang Wu

“…Exponential distribution optimizer (EDO) is an effective mathematics-based optimization technique with widespread application across numerous domains. …”
Get full text

Eel and Grouper Optimizer improvement three-stage algorithm for photovoltaic MPPT by ZiJian Zhou, YanHong Fang

Get full text

Machine learning-based prediction method for open-pit mining truck speed distribution in manned operation by Changyou XU, Gang CHEN, Qiuxia ZHANG, Bo WANG, Hongwang ZHANG, Hongrui LI, Weiwei QIN, Muyang LI

Get full text

Optimization of Pertamax Fuel Distribution Using Clarke-Wright Savings, Nearest Neighbour, and Goal Programming (Case Study: Malang City) by Tharisa Melani, Sobri Abusini, Marjono Marjono

“…These findings highlight the effectiveness of combining these algorithms in fuel distribution optimization, providing a more efficient solution compared to existing routes. …”
Get full text

Efficient Adaptive Robust Aerodynamic Design Optimization Considering Uncertain Inflow Variations for a Diffusion Airfoil Across All Operating Incidences by Zhengtao Guo, Lei Bao, Chaolong Li, Xianzhong Gao, Wuli Chu

“…It also better balances various optimization objectives, concentrating the space distribution of optimal solutions closer to the average level. …”
Get full text

Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks by Ihor Blinov, Virginijus Radziukynas, Pavlo Shymaniuk, Artur Dyczko, Kinga Stecuła, Viktoriia Sychova, Volodymyr Miroshnyk, Roman Dychkovskyi

Get full text

Robust Optimization for Electric Vehicle Routing Problem Considering Time Windows Under Energy Consumption Uncertainty by Dan Wang, Weibo Zheng, Hong Zhou

“…Compared to fossil fuel-based internal combustion vehicles, electric vehicles with lower local pollution and noise are becoming more and more popular in urban logistic distribution. …”
Get full text