Stochastic evolutionary system with Markov-modulated Poisson perturbations in the averaging schema by S. A. Semenyuk, Ya. M. Chabanyuk

“…The obtained result makes it possible to study the rate of convergence of the perturbed process to the limit one, as well as to consider stochastic approximation and optimization procedures for problems in which the system is described by an evolutionary equation with the Markov-modulated Poisson perturbation.…”
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The maximum range method for finding initial basic feasible solution for transportation problems by Fredrick Asenso Wireko, Ignatius Dennis Kwesi Mensah, Emmanuel Nii Apai Aborhey, Samuel Adu Appiah, Charles Sebil, Joseph Ackora-Prah

“…The observation was that the proposed algorithm in many cases produced an optimal initial basic feasible solution (IBFS) for both balanced and unbalanced transportation problems and also tend to have a very high average of correctness percentage compared to some existing algorithms.…”
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A Multi-Strategy Improved Horned Lizard Optimization Algorithm and Its Application in Engineering Optimization by Yancang Li, Jinfan Zhang, Zidong Jin, Weitao Qiao

“…Statistical analyses including the Wilcoxon rank sum test (p < 0.05), Friedman’s test, and solution distribution visualization validate the robustness of the algorithm against local optimal stagnation. In the engineering optimization example, the average cost of the pressure vessel problem was reduced by 55.6%, while the optimal value with the lowest standard deviation verified its stability in terms of solution accuracy, convergence speed, and stability. …”
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Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient by Fercoq, Olivier

“…After a review of current analyses, we show that they do not explain properly the behavior of the algorithm, even on the most simple problems. We thus introduce the quadratic error bound of the smoothed gap, a new regularity assumption that holds for a wide class of optimization problems. …”
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Sample Distribution Approximation for the Ship Fleet Deployment Problem Under Random Demand by Qi Hong, Xuecheng Tian, Haoran Li, Zhiyuan Liu, Shuaian Wang

“…The ship fleet deployment problem plays a critical role in maritime logistics management, requiring shipping companies to determine optimal vessel configurations for cargo transportation. …”
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Oppositional chaotic artificial hummingbird algorithm on engineering design optimization by Vidyasagar Bhattacharjee, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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Optimizing Vehicle Routing for Perishable Products with Time Window Constraints: by Rifqi Fauzi, Adi Priansyah, Paskalis Krisna Puspadewa, Syifa Maulvi Zainun Awal, Huu Tho Nguyen, Achmad Pratama Rifai

“… This research investigates the application of optimization methods to the Capacitated Vehicle Routing Problem with Time Windows in the context of bread distribution for the efficiency of different approach for managing large-scale goods delivery. …”
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Ternary Historical Memory-Based Robust Clustered Particle Swarm Optimization for Dynamic Berth Allocation and Crane Assignment Problem by Ruiqi Wu, Shiming Mao, Yi Sun

“…The berth allocation and crane assignment problem (BACAP) is a key challenge in port logistics, particularly under dynamic and uncertain vessel arrival conditions. …”
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A Novel Exploration Stage Approach to Improve Crayfish Optimization Algorithm: Solution to Real-World Engineering Design Problems by Harun Gezici

“…Results indicate that the improved COA enhances exploration and successfully solves challenging problems, demonstrating its effectiveness in various optimization scenarios.…”
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Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…This study introduces the Fuzzy Stochastic Transportation Problem with Lomax Distribution (FSTPWLD) as a framework to address LOS variability. …”
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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

“…It has shown promising results across a range of engineering optimization problems. However, one of its major limitations lies in the use of fixed parameters to guide the search process, which often causes the algorithm to get stuck in local optima. …”
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A high-entropy image encryption scheme using optimized chaotic maps with Josephus permutation strategy by Nawal El Ghouate, Mohamed Amine Tahiri, Ahmed Bencherqui, Hanaa Mansouri, Ahmed El Maloufy, Hicham Karmouni, Mhamed Sayyouri, Sameh Askar, Mohamed Abouhawwash

“…Abstract With the rapid growth in the exchange of digital data, the problem of protecting images has become essential, particularly in sectors such as medicine, surveillance and secure communications. …”
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Vehicle routing problem in waste collection: a case study in Son Tra, Da Nang by Le Hoang Son, Truong Nguyen Song Ha, Nguyen Ngoc Phuong, Phan Bao An

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A bi-decision model for electric vehicle dispatch and battery swapping station charging schedule problem by Yong Su, Shishun Tian, Hao Wu, Xia Li

“…In this paper, a bi-decision model for EV dispatch and BSS charging schedule problem is proposed to minimize the average extra time (ET) through the assigned BSS for EVs, and optimize the electricity cost, charging damage to batteries, and power load variance for BSSs, where the solution in the first decision is the pre-defined condition of the second decision model. …”
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Development and evaluation of parallel simulated annealing algorithm for reactor core optimization problems [version 2; peer review: 2 approved] by Gregory Delipei, Jake Mikouchi-Lopez, Jason Hou

“…The effectiveness of PSA was compared against the GA and SA algorithms available in MIDAS for a Pressurized Water Reactor first cycle core loading pattern optimization problem. Results PSA consistently generates more optimal solutions than SA and GA by having the higher average fitness, and showing less variance in its performance and thus being more robust. …”
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Tuning Mechanism and Parameter Optimization of a Dynamic Vibration Absorber with Inerter and Negative Stiffness Under Delayed FOPID by Junlin Li, Yunxia Sun, Xueling Liu, Yufeng Zhang

“…However, the strong nonlinear characteristics of the system and the computational burden resulting from its high dimensionality make solving and optimizing more challenging. This paper presents a coupled model of DFOPID and DVA, exploring its parameter tuning mechanism and optimization problem. …”
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A Raster-Based Multi-Objective Spatial Optimization Framework for Offshore Wind Farm Site-Prospecting by Loukas Katikas, Themistoklis Kontos, Panayiotis Dimitriadis, Marinos Kavouras

“…Siting an offshore wind project is considered a complex planning problem with multiple interrelated objectives and constraints. …”
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Study on distributed and dynamic resource management for delay-sensitive sensor network by Wei LIU, Jun LIU

“…The delay-aware dynamic resource management problem was investigated in sensor network,with a focus on resource allocation among the sensors and power control along the time.By taking account of average delay requirements and power constraints,the considered problem was formulated into a stochastic optimization problem.Inspired by Lyapunov optimization theory,the intractable stochastic optimization problem was transformed into a tractable deterministic optimization problem,which was a mixed-integer resource management problem.By exploiting the specific problem structure,the mixed-integer resource management problem was equivalently transformed into a single variable problem,and the cooperative distributed method was present to effectively solve it with guaranteed global optimality.Finally,a dynamic resource management algorithm was proposed to solve the original stochastic optimization problem.Simulation results show the performance of the proposed dynamic algorithm and reveal that there exists a fundamental tradeoff between delay requirements and power consumption.…”
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Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function by Noah Schulhof, Pattara Sukprasert, Eytan Ruppin, Samir Khuller, Alejandro A. Schäffer

“…Using these metrics, we provide empirical results demonstrating that MORSE outperforms the Gurobi method and unweighted variations of the MORSE method on a set of 20 Mixed Integer Programming Library (MIPLIB) instances and on a combinatorial optimization problem in cancer genomics.…”
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Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

“…Simulation results demonstrate that the proposed algorithm reduces the average path length by 15.4% and 7.5% compared to traditional genetic algorithm and particle swarm optimization, respectively, while improving computational efficiency by 45.5% and 16.8%.…”
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