Impact of parameter control on the performance of APSO and PSO algorithms for the CSTHTS problem: An improvement in algorithmic structure and results. by Muhammad Ahmad Iqbal, Muhammad Salman Fakhar, Syed Abdul Rahman Kashif, Rehan Naeem, Akhtar Rasool

“…Cascaded Short Term Hydro-Thermal Scheduling problem (CSTHTS) is a single objective, non-linear multi-modal or convex (depending upon the cost function of thermal generation) type of Short Term Hydro-Thermal Scheduling (STHTS), having complex hydel constraints. …”
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Parametric-modeling-based multi-objective thermoelastic optimization of rudder structures by Shi Guanghui, Bao Yuhao, Wu Wenhua, Guo Guiqiang, Lin Ye, Zhang Xiaopeng, Tao Ran

“…These optimization problems are solved using a compromise programming algorithm. …”
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A new method to solve multi-objective linear fractional programming problem in fuzzy stochastic environment by Ajeet Kumar, Babita Mishra

“… Fuzzy stochastic optimization has emerged as an effective approach for dealing with probabilistic and imprecise uncertainties, which makes it useful for problems when data is simultaneously impacted by vagueness and randomness. …”
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Revised Harmonious Fuzzy Technique for Solving Fully Fuzzy Multi-Objective Linear Fractional Programming Problems by Maher A. Nawkhass

“…     The revised harmonious fuzzy technique (RHFT) is a method used to solve fuzzy optimization problems. It was capitalized as an extension of the classical linear programming technique to handle constraints and objectives that are fuzzy. …”
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RIS-assisted terahertz frequency band vehicle network capacity optimization by Fatang CHEN, Xiaoling LIU, Dan WANG, Ruofan ZHANG

“…In order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of limited total system power, QoS constraints of cellular mobile users, and randomness constraints of vehicle and user locations, a hybrid optimization model was established for optimal power allocation and optimal deployment of RIS with the aim of maximizing the total rate of vehicle users.Based on the balance method, linear transformation method, and element elimination method, the original NP-hard problem was transformed into a convex optimization problem with complex correlation constraints and multivariate coupling.The inner layer iteration was based on the Lagrange multiplier method to solve the optimal power allocation, and the outer layer iteratively solved the optimal deployment of RIS based on a improved genetic algorithm.The simulation results show that rationally deploying the number and distribution density of RIS nodes based on optimal power allocation can save costs while achieving a higher target total capacity.…”
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A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods by Mehdi Ghasri, Hamid Reza Karimi, Abdolhamid Salarnia

“…Traditional metaheuristic approaches for structural optimization often encounter challenges such as premature convergence, computational inefficiency, and limited adaptability to complex constraints in high-dimensional search spaces. …”
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A Graph-Based Ant Colony Optimization Approach for Process Planning by JinFeng Wang, XiaoLiang Fan, Shuting Wan

“…The complex process planning problem is modeled as a combinatorial optimization problem with constraints in this paper. …”
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A mathematical optimization model for allocating physical spaces to academic requirements by Zeynab Rashidi, Zahra Rashidi

“…Purpose: The problem of allocating space to academic needs is one of the complex optimization issues that distributes a limited set of educational and research needs to a set of resources with a set of constraints. …”
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Terminal battery status information based fairness-aware SWIPT strategy by Zhirui HU

“…To solve the battery depletion problem,the terminals’ battery status information (BSI) was proposed to be taken into consideration in simultaneous wireless information and power transfer (SWIPT) strategies,and a SWIPT strategy to guarantee the rate fairness was provided.BSI determined the terminals’ sufferable received rate and harvested energy.The proposed scheme was formulated as an optimization problem to max-min user rate,with rate/energy requirement constraints and the sufferable rate/energy constraints.To solve optimization problem,the receivers were firstly classified with their battery level,then the optimal solutions were obtained by the proposed iteration optimization-based algorithm.With the proposed scheme,the transmit power and the power splitting factor would be controlled and the data rate at receivers,especially the receivers that with lower battery level would be restricted,avoiding the required battery consumption to exceed battery level.Simulation results reveal that the proposed scheme can prolong battery lifetime and avoid the battery depletion problem,and its fairness performance is strengthened with the difference decreasing among the receivers’ battery level.…”
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An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…The second step performs hierarchical clustering of orders based on spatial similarity and capacity constraints to reduce the problem size. In the third step, the traveling salesman problem (TSP) is formulated to determine the optimal execution sequence within each cluster. …”
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Research on Algorithms for Local Robot Positioning Using Methods of Discrete Optimization by Vyacheslav Korolyov, Maksim Ogurtsov, Oleksandr Khodzinskyi

“…The algorithm from the scipy.optimize.minimize library numerically finds the solution to the discrete optimization problem with a combined objective function considering the specified constraints, ensuring coordinate recovery accuracy of approximately 10 % and acceptable program execution speed for fixed-wing UAVs.…”
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Time-Optimal Attitude Scheduling of a Spacecraft Equipped with Reaction Wheels by Alberto Olivares, Ernesto Staffetti

“…This attitude scheduling problem has been solved as a multiphase mixed-integer optimal control problem in which binary functions have been introduced to model the choice of the optimal sequence of target attitudes and to enforce the constraint of adopting once and only once each attitude. …”
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Combinatorial Robust Optimization with Decision-Dependent Information Discovery and Polyhedral Uncertainty by Omer, Jérémy, Poss, Michael, Rougier, Maxime

“…Given a nominal combinatorial optimization problem, we consider a robust two-stages variant with polyhedral cost uncertainty, called Decision-Dependent Information Discovery (DDID). …”
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An Adaptive Large Neighborhood Search for the Larger-Scale Instances of Green Vehicle Routing Problem with Time Windows by Zixuan Yu, Ping Zhang, Yang Yu, Wei Sun, Min Huang

“…Therefore, green vehicle routing problem (GVRP), aiming to minimize the total carbon emissions in the transportation, has become a hot issue. …”
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AN ITERATION METHOD OF COMPANY MANAGEMENT OPTIMIZATION USING INvERSE CALCULATIONS by B. E. Odintsov, A. N. Romanov

“…In the situation of increasing shortage of resources, more attention is being paid to methods ensuring their maximum saving, therefore this problem is viewed in the paper as a possible sphere for application of the optimization method described herein.…”
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Monolithic and Decomposition Methods for Optimal Scheduling of Dynamically Adaptive Water Networks by Bradley Jenks, Aly-Joy Ulusoy, Ivan Stoianov

“…This paper presents an optimal scheduling problem for coordinating pressure and self-cleaning operations in dynamically adaptive water networks. …”
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Quantum Adiabatic Optimization with Rydberg Arrays: Localization Phenomena and Encoding Strategies by Lisa Bombieri, Zhongda Zeng, Roberto Tricarico, Rui Lin, Simone Notarnicola, Madelyn Cain, Mikhail D. Lukin, Hannes Pichler

“…Quantum adiabatic optimization seeks to solve combinatorial problems using quantum dynamics, requiring the Hamiltonian of the system to align with the problem of interest. …”
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Multi-objective multi-workflow task offloading based on evolutionary optimization by Teliekebieke Misha, Lisheng Sun, Zheng-yi Chai

“…The aforementioned problem is formulated as a multi-objective optimization problem with two objectives: average task completion latency and device energy consumption. …”
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Inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity over fixed point sets by Manatchanok Khonchaliew, Narin Petrot

“…Abstract This paper introduces an inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity, constrained over the fixed point set of a nonexpansive mapping in the framework of a real Hilbert space. …”
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Many objective optimization and decision support for dairy cattle feed formulation by Member Joy Usigbe, Daniel Dooyum Uyeh, Tusan Park, Yushin Ha, Rammohan Mallipeddi

“…Linear and nonlinear constraints, framed as nutritional requirements and specific objectives, present a continuous challenge in achieving optimal feed formulation. …”
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