Design of steel and concrete composite beams according to NBR8800:2008 using pygad genetic algorithm and python implementation by Paula Cristina de Lima Bastos, Francisco de Assis das Neves, Walliston dos Santos Fernandes

“…Between the serviceability limit states, vibration frequency checks were inserted into the optimization problem. Finally, following the optimization process, the designed and optimized elements will be checked for dynamic susceptibility through modal analysis. …”
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An Improved Spider Wasp Optimizer for Green Vehicle Route Planning in Flower Collection by Mengxin Lu, Shujuan Wang

“…The effectiveness of the proposed optimizer is validated through extensive experimental results.…”
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Optimal Control for Multistage Nonlinear Dynamic System of Microbial Bioconversion in Batch Culture by Lei Wang, Zhilong Xiu, Yuduo Zhang, Enmin Feng

“…Firstly, we transform the optimal control problem into the one with fixed terminal time. …”
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Developing Shuffled Frog-Leaping Algorithm (SFLA) Method to Solve Power Load-Constrained TCRTO Problems in Civil Engineering by Xingyu Tao, Heng Li, Chao Mao, Chen Wang, Jeffrey Boon Hui Yap, Samad Sepasgozar, Sara Shirowzhan, Timothy Rose

“…A mathematical model including three objective functions and five constraints was established followed by the application of the modified SLFA on real-case multiobjective optimization problems in construction scheduling. …”
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Wireless Sensor Network Optimization for Constrained Environments With Limited a Priori Target Information by Joseph Mockler, Sarah Wielgosz, Huan Xu

“…We define this optimization problem to generally include physical constraints, which are much more practical for most localization applications. …”
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An Integrated Access and Backhaul Approach to Sustainable Dense Small Cell Network Planning by Jie Zhang, Qiao Wang, Paul Mitchell, Hamed Ahmadi

“…However, existing IAB network planning models, which are grounded in the facility location problem and are predominantly addressed through linear programming, tend to neglect crucial geographical constraints. …”
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A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning by Bei Liu, Yuefeng Cai, Duantengchuan Li, Ke Lin, Guanghui Xu

“…An effective path planning algorithm can greatly improve the operational efficiency of UAVs in complex environments like urban and mountainous areas, thus offering more extensive coverage for various tasks. However, existing path planning algorithms often encounter problems such as high computational costs and a tendency to become trapped in local optima in complex 3D environments with multiple constraints. …”
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Improved Fuel Consumption Estimation for Sailing Speed Optimization: Eliminating Log Transformation Bias by Qi Hong, Xuecheng Tian, Yong Jin, Zhiyuan Liu, Shuaian Wang

“…Sailing Speed Optimization (SSO) is a crucial problem in shipping operations management, aiming to reduce both operating costs and carbon dioxide emissions. …”
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Interior Point Algorithm in Multi-objective Portfolio Optimization: GlueVaR Approach by Elaheh Gohania, Gholamreza Mansourfar, Fahimeh Biglari

“…The function of the multi-objective portfolio optimization model is quadratic. Quadratic functions are a special class of nonlinear programming problems in which the objective function is quadratic and the constraints are linear. …”
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An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning by Zhenzu Bai, Haiyin Zhou, Juhui Wei, Xuanying Zhou, Yida Ning, Jiongqi Wang

“…Developing objectives, constraints, and decision-making processes for three-dimensional path planning involving multiple UAVs presents substantial challenges within the multi-objective optimization community. …”
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Optimizing Resource Fragmentation in Virtual Network Function Placement Using Deep Reinforcement Learning by Ramy Mohamed, Marios Avgeris, Aris Leivadeas, Ioannis Lambadaris

“…This study proposes a novel online VNF placement approach for Edge/Cloud infrastructures that utilizes Deep Reinforcement Learning (DRL) and Reward Constrained Policy Optimization (RCPO) to address this problem. We combine DRL’s adaptability with RCPO’s constraint incorporation capabilities to ensure that the learned policies satisfy the performance and resource constraints while minimizing resource fragmentation. …”
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Heuristic Optimization-Based Trajectory Planning for UAV Swarms in Urban Target Strike Operations by Chen Fei, Zhuo Lu, Weiwei Jiang

“…The problem is formulated with specific constraints, modeling each UAV as an electric eel with random initial positions and velocities. …”
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Optimal Allocation of Resources in an Open Economic System with Cobb–Douglas Production and Trade Balances by Kamshat Tussupova, Zainelkhriet Murzabekov

“…The resource allocation problem is formalized as a constrained optimization task, solved analytically using the Lagrange multipliers method and numerically via the golden section search. …”
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Optimization model and heuristic solution method for multi-channel cooperative sensing in cognitive radio networks by Wei YANG, Dong-song BAN, Huan-zhong LI, Wen-hua DOU

“…An optimization model under the scenario where multi-channels are cooperatively sensed and used by multi-secondary users (SU) was proposed.The model aims to maximize the system throughput and optimizes the parameters including the sensing time and the weight coefficient of the sampling result of each SU for each channel,meanwhile the false access probability for each channel must not violate the given constraints.To solve this non-linear optimization model,a sequential parameters optimization method(SPO)was proposed.The method begins with deriving the lower bound of the objective function of the optimization model.Then it maximizes this lower bound by optimizing the weight coefficients through solving a series of sub-optimal problems using Lagrange method,and finally finding an optimized sensing time parameter by the golden search algorithm.Extensive experiments by simulations demonstrate the effectiveness of the proposed method and the advantage of the proposed model on improving the system throughput.…”
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A hybrid scheduling approach for mega event transportation: integrating harmony search and black widow optimization by Mohd Khaled Shambour, Esam Khan, Muhannad A. Abu-Hashem

“…Optimization techniques have been extensively employed to address various challenges in human life across numerous domains. …”
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Probabilistic Topology Optimization Framework for Geometrically Nonlinear Structures Considering Load Position Uncertainty and Imperfections by Muayad Habashneh, Oveys Ghodousian, Hamed Fathnejat, Majid Movahedi Rad

“…To address these uncertainties, normal distributions are adopted for all relevant parameters, leveraging their computational efficacy, simplicity, and ease of implementation, which are particularly crucial in the context of complex optimization algorithms and extensive analyses. The proposed methodology undergoes rigorous validation against benchmark problems, ensuring its efficacy and reliability. …”
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Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process by Jinlong Yuan, Jun Xie, Honglei Xu, Enmin Feng, Zhilong Xiu

“…Such problem governed by the stochastic system is subject to continuous state inequality constraints and box constraints. …”
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A Robust Optimization Approach for E-Bus Charging and Discharging Scheduling with Vehicle-to-Grid Integration by Mingyu Kang, Bosung Lee, Younsoo Lee

“…This paper proposes a robust optimization approach for the charging and discharging scheduling problem at E-bus depots equipped with V2G. …”
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Energy optimization and age of information enhancement in multi‐UAV networks using deep reinforcement learning by Jeena Kim, Seunghyun Park, Hyunhee Park

“…By formulating the inter‐UAV network path planning problem as a Markov decision process, a deep Q‐network (DQN) strategy is applied to enable real‐time decision making that accounts for dynamic environmental changes, obstacles, and UAV battery constraints. …”
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The Effect Of Optimizers On The Generalizability Additive Neural Attention For Customer Support Twitter Dataset In Chatbot Application by Sinarwati Mohamad Suhaili, Naomie Salim, Mohamad Nazim Jambli

“…Despite memory constraints that limited ADAMW to ten epochs, this optimizer showed promising results compared to configurations using early stopping techniques. …”
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