Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…Additionally, the integration of fuzzy and stochastic elements led to a 20 . reduction in bed allocation mismatches, optimizing resource utilization across hospital departments. • Novel Integration of Lomax Distribution in FSTPWLD: Utilizes the Lomax distribution to model heavy-tailed LOS data, capturing inherent uncertainty and variability in hospital discharge times. • Optimized Decision-Making for Healthcare Management: Employs probabilistic constraints and fuzzy stochastic models to balance operational costs and patient care quality, improving resource allocation. • Validated through Simulations and Practical Scenarios: Numerical experiments highlight the model's effectiveness in reducing bottlenecks and enhancing hospital administration efficiency.…”
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A revamped black winged kite algorithm with advanced strategies for engineering optimization by Sarada Mohapatra, Deepa Kaliyaperumal, Farhad Soleimanian Gharehchopogh

“…Additionally, the method is utilized in fifteen constraint optimization problems from the CEC2011 test suite and six complex engineering design problems, demonstrating its versatility and efficacy. …”
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Joint Optimization of Item and Pod Storage Assignment Problems with Picking Aisles’ Workload Balance in Robotic Mobile Fulfillment Systems by Jun Zhang, Lingkun Tian, Zijuan Zhou

“…Motivated by these, the joint optimization of item and pod storage assignment problems (J-IPSAP) with picking aisles’ workload balance is studied. …”
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A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues by Vahid Hajipour, Shermineh Hadad Kaveh, Fatih Yiğit, Ali Gharaei

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Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints by Xiao-Jing Wang, Zhen-Sheng Yu

“…In this paper, we introduce a novel approach to solve the vector projection problem under linear equality and cardinality constraints, termed the Quasi-Newton Lagrangian method. …”
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A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems by Cornelius Rüther, Julia Rieck

“…<i>Background</i>: The Multi Depot Pickup and Delivery Problem with Time Windows and Heterogeneous Vehicle Fleets (MDPDPTWHV) is a strongly practically oriented routing problem with many real-world constraints. …”
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Population-Based Redundancy Control in Genetic Algorithms: Enhancing Max-Cut Optimization by Yong-Hyuk Kim, Zong Woo Geem, Yourim Yoon

“…The max-cut problem is a well-known topic in combinatorial optimization, with a wide range of practical applications. …”
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Optimization of Combat Resource Allocation Based on Restricted Tournament Selection Social Genetic Algorithm by Shandong Yuan, Yun Ren, Han Zhou, Yongjing Cheng, Kai Yan

“…Abstract To tackle the challenge of combat resource allocation problem (CRAP), especially under resource constraints, the dilemma between the efficiency of combat resource utilization and the efficiency of problem-solving. …”
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Facility Location with Tree Topology and Radial Distance Constraints by Pablo Adasme, Ali Dehghan Firoozabadi

“…However, the proposed heuristics and metaheuristics allow obtaining near-optimal solutions in significantly short CPU time and tight feasible solutions for large instances of the problem.…”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…By iterating the hard threshold operator and transforming the original problem into an approximate non-convex sparse optimization problem, the manifold proximal gradient (ManPG) method is used as a distributed iterative solution. …”
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Optimization of order allocation problem in a multiple buyer-supplier network: a multi-objective and multi-criteria approach by Thalles Vitelli Garcez, Marcella Maia Urtiga, Helder Tenório Cavalcanti, José Marcelo Severino da Silva Filho, Thárcylla Rebecca Negreiros Clemente, Renata Maciel de Melo, Cristina Pereira Medeiros

“…Optimizing order allocation in decentralized networks with multiple buyer-supplier network is essential for enhancing competitiveness, sustainability, and collaboration throughout supply chains. …”
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A Space Telescope Scheduling Approach Combining Observation Priority Coding with Problem Decomposition Strategies by Kaiyuan Zhang, Bao-Lin Ye, Xiaoyun Xia, Zijia Wang, Xianchao Zhang, Hai Jiang

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Three-Dimensional Trajectory Optimization for UAV-Based Post-Disaster Data Collection by Renkai Zhao, Gia Khanh Tran

“…However, mission completion time minimization becomes a crucial task, considering the requirement of rapid response and the battery constraint of UAVs. Therefore, the author proposed a three-dimensional UAV flight trajectory, discussing the optimal flight altitude and placement of hovering points by transforming the original problem of K-means clustering into a location set cover problem (LSCP) that can be solved via a genetic algorithm (GA) approach. …”
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An Improved Hierarchical Optimization Framework for Walking Control of Underactuated Humanoid Robots Using Model Predictive Control and Whole Body Planner and Controller by Yuanji Liu, Haiming Mou, Hao Jiang, Qingdu Li, Jianwei Zhang

“…To tackle this relevant critical problem, we present a hierarchical optimization framework that combines model predictive control (MPC) with a tailored whole body planner and controller (WBPC). …”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…In this context, we propose a novel Quantum-Inspired Hyperheuristic Framework (QHHF) designed to solve Dynamic Multi-Objective Combinatorial Optimization Problems (DMOCOPs) arising in disaster relief operations. …”
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Four-dimensional green transportation problem considering multiple objectives and product blending in Fermatean fuzzy environment by Monika Bisht, Ali Ebrahimnejad

“…Further, we obtain the Pareto-optimal solution of this model by four methods, namely, fuzzy TOPSIS, $$\epsilon $$ ϵ -constraint method, augmented Tchebycheff method (ATM) and weighted Tchebycheff metrics programming (WTMP) method. …”
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Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

“…This study presents a comparative analysis of multiple nature-inspired algorithms for solving the non-polynomial Optimal Power Flow (OPF) problem. Through numerical evaluations, we assess their performance across diverse objective functions, addressing complexities such as multi-fuel sources, valve point effects, and prohibited zones. …”
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Vehicle scheduling optimization for demand responsive transit with flexible stops by SHEN Zikang, JIN Wenzhou, ZHENG Yajing

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A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

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A new method of task aggregation and optimization allocation for multiple groups collaborative task networks by WeiWei Du, XiaoWei Chen

“…Secondly, considering task allocation requirements, space–time constraints, resource capacity and demand constraints, the multi-group collaborative task allocation problem is transformed into a multi-constraint multi-objective optimization problem, establishing a multi-group task allocation mathematical model. …”
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