Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

“…Meanwhile, the slave stage uses a matrix-based power flow version of the successive approximations (SA) method to evaluate the problem's objective function and constraints for the solution proposed by the master stage. …”
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Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis by Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, S. Saranya

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A Dynamic Reactive Power Optimization Algorithm for Regional Power Grid Based on Decoupling Interior Point Method and Mixed Integer Programming Method by Jie ZHANG, Yunyao ZHENG, Shengchun LIU, Yongfei MA, Wei YAN, Hengfeng WANG

“…Mathematically, it is a multi-period large-scale nonlinear mixed integer programming problem with absolute value constraints, and its efficient solution is a difficult problem. …”
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Sustainable closed-loop supply chain network planning considering price competition using particle chaotic ant colony algorithm by Tianrui Zhang, Quanfeng He, Weibo Zhao, Mingqi Wei

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DESIGN CONTROL OF SURFACE MARINE VEHICLE USING DISTURBANCE COMPENSATING MODEL PREDICTIVE CONTROL (DC-MPC) by Sari Cahyaningtias, Tahiyatul Asfihani, Subchan Subchan

“…The DC-MPC allows optimizing a compensated control then consider sea waves as the environmental disturbances. …”
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Particle Swarm Optimization Algorithm for Determining Global Optima of Investment Portfolio Weight Using Mean-Value-at-Risk Model in Banking Sector Stocks by Moh. Alfi Amal, Herlina Napitupulu, Sukono

“…Computational algorithms are systematically written instructions or steps used to solve logical and mathematical problems with computers. These algorithms are crucial to rapidly and efficiently analyzing complex data, especially in global optimization problems like portfolio investment optimization. …”
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Enhanced Energy Management System in Smart Homes Considering Economic, Technical, and Environmental Aspects: A Novel Modification-Based Grey Wolf Optimizer by Moslem Dehghani, Seyyed Mohammad Bornapour, Ehsan Sheybani

“…Three objective functions are considered in the proposed energy management: electricity bill, peak-to-average ratio (PAR), and pollution emissions. To solve the optimization problem, a novel modification-based grey wolf optimizer (GWO) is proposed. …”
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Enhancing Smart Microgrid Resilience and Virtual Power Plant Profitability Through Hybrid IGWO-PSO Optimization With a Three-Phase Bidding Strategy by T. Yuvaraj, T. Sengolrajan, Natarajan Prabaharan, K. R. Devabalaji, Akie Uehara, Tomonobu Senjyu

“…A hybrid improved grey wolf optimization-particle swarm optimization (IGWO-PSO) algorithm is developed to solve this complex optimization problem. …”
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A Mixed-Integer Convex Optimization Framework for Cost-Effective Conductor Selection in Radial Distribution Networks While Considering Load and Renewable Variations by Oscar Danilo Montoya, Oscar David Florez-Cediel, Luis Fernando Grisales-Noreña, Walter Gil-González, Diego Armando Giral-Ramírez

“…This paper proposed a mixed-integer convex (MI-Convex) optimization framework to solve the OCS problem under balanced operating conditions, integrating the costs of conductor investment and energy losses into a single convex objective. …”
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Research on Vehicle Path Planning Method with Time Windows in Uncertain Environments by Ying Cong, Kai Zhu

“…With the growing complexity of logistics and the demand for sustainability, the vehicle routing problem (VRP) has become a key research area. Classical VRPs now incorporate practical challenges such as time window constraints and carbon emissions. …”
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A Stackelberg Game Theory Model for Integrated Community Energy Storage Systems by Sobhan Dorahaki, S. M. Muyeen, Nima Amjady

“…The bi-level optimization problem is reformulated into a linear single-level optimization problem using the Karush-Kuhn-Tucker (KKT) approach. …”
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Multi-Objective Task Scheduling for Earth Observation InSAR Satellites via Non-Dominated Sorting Student Psychology Based Optimization Algorithm by Qingxian Jia, Weicheng Lian, Dan Yua, Qi Sun

“…Moreover, based on the single-objective student psychology-based optimization (SPBO) algorithm, a modified non-dominated sorting SPBO (NSSPBO) algorithm is proposed to tackle the multi-objective task scheduling problem for the InSAR satellite system. …”
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Local corner smoothing based on deep learning for CNC machine tools by Bai Jiang, Rong Sun, Ze-long Li, Liang Xu, Huang Liao, Xiao-yan Teng, Bing Li

“…First, the three essential components of optimization are introduced, and the local corner smoothness is converted into an optimization problem. …”
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ADAPTIVE GROWTH TECHNIQUE OF TRUSS STRUCTURE BASED ON MMA by HUA Min, DING XiaoHong, WU ChunPing

“…However, different optimization iteration formula, which deducted by different kinds of problem, is poor and difficult to generalize, especially for the optimization problems with more than one constraint. …”
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Optimizing Green Supplier Selection and Order Allocation: A Fuzzy DNAP-Fuzzy TOPSIS-Bi Objective Mathematical Model Approach with Harmony Search Algorithm by Sara AmirSalami, Saeed Alaei

“…Furthermore, due to the non-linearity of the mathematical model, a harmony search algorithm was developed for the problem, and a repair algorithm was proposed to handle constraints in the problem.   …”
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Asset management using an extended Markowitz theorem by Paria Karimi

“…In this paper, we present a multi objective Markowitz model to determine asset allocation by considering cardinality constraints. The resulted model is an NP-Hard problem and the proposed study uses two metaheuristics, namely genetic algorithm (GA) and particle swarm optimization (PSO) to find efficient solutions. …”
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Bio-Inspired Traffic Pattern Generation for Multi-AMR Systems by Rok Vrabič, Andreja Malus, Jure Dvoršak, Gregor Klančar, Tena Žužek

“…This paper proposes a bio-inspired optimization method for autonomously generating spatial movement constraints for autonomous mobile robots (AMRs). …”
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NUDIF: A Non-Uniform Deployment Framework for Distributed Inference in Heterogeneous Edge Clusters by Peng Li, Chen Qing, Hao Liu

“…Formulated as a mixed-integer nonlinear programming (MINLP) problem, NUDIF is responsible for planning the number of instances for each sub-model and determining the specific devices for deploying these instances, while considering computational capacity, memory constraints, and communication latency. …”
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Maximization of Fundamental Frequency of Composite Stiffened Hypar Shell with Cutout by Taguchi Method by Puja Basu Chaudhuri, Anirban Mitra, Sarmila Sahoo

“…Obtaining the best combination of design variables like degree of orthotropy, ply orientation, shallowness of the shell, and eccentricity of cutout of laminated shells leads to a problem of combinatorial optimization. This article attempts a numerical study of the free vibration response of composite stiffened hypar shells with cutout using finite element procedure and optimization of different parametric combinations based on the Taguchi approach. …”
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Integrative Path Planning for Multi-Rotor Logistics UAVs Considering UAV Dynamics, Energy Efficiency, and Obstacle Avoidance by Kunpeng Wu, Juncong Lan, Shaofeng Lu, Chaoxian Wu, Bingjian Liu, Zenghao Lu

“…In this paper, we proposed a novel trajectory planning framework to achieve the optimal trajectory with the minimum amount of energy consumption under the constraints of obstacles in a static environment. …”
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