A two-stage optimization model for relief logistics and distribution to disaster survivors under two-fold uncertainty by Palash Sahoo

“…Disasters are unforeseen occurrences requiring extensive transport deployment to support and relieve victims. …”
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An Innovative Differentiated Creative Search Based on Collaborative Development and Population Evaluation by Xinyu Cai, Chaoyong Zhang

“…The results show the superior performance of MSDCS in terms of convergence speed, stability, and global optimization. In addition, MSDCS is successfully applied to several engineering constrained optimization problems. …”
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An Algorithm Based on Connectivity Properties for Finding Cycles and Paths on Kidney Exchange Compatibility Graphs by Roger Z. Ríos-Mercado, L. Carolina Riascos-Álvarez, Jonathan F. Bard

“…Kidney-paired donation programs assist patients in need of a kidney to swap their incompatible donor with another incompatible patient–donor pair for a suitable kidney in return. The kidney exchange problem (KEP) is a mathematical optimization problem that consists of finding the maximum set of matches in a directed graph representing the pool of incompatible pairs. …”
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Confirmation of driving principle by weight analysis of Integration Neural Network and extension of deductive approximator by Yoshiharu IWATA, Hidefumi WAKAMATSU

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A Two-Stage Planning Method for Rural Photovoltaic Inspection Path Planning Based on the Crested Porcupine Algorithm by Xinyu He, Xiaohui Yang, Shaoyang Chen, Zihao Wu, Xianglin Kuang, Qi Zhou

“…Moreover, the proposed framework not only provides a practical inspection strategy for rural PV systems but also offers a solution to the Multiple-Depot Multiple Traveling Salesmen Problem (MDMTSP) under constrained conditions, expanding its application scope in similar scenarios.…”
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A Hybrid Whale Optimization Approach for Fast-Convergence Global Optimization by Athanasios Koulianos, Antonios Litke, Nikolaos K. Papadakis

“…Wilcoxon tests demonstrate the promising performance of LWOATS, showing improvements in convergence speed, accuracy, and robustness compared to traditional WOA and other metaheuristic algorithms. After extensive testing against a challenging set of benchmark functions and engineering optimization problems, we conclude that our proposed method is well suited for tackling high-dimensional optimization tasks and constrained optimization problems, providing substantial computational efficiency gains and improved overall solution quality.…”
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Conceptual Comparison of Population Based Metaheuristics for Engineering Problems by Oluwole Adekanmbi, Paul Green

“…Several extensions of differential evolution have been adopted in solving constrained and nonconstrained multiobjective optimization problems, but in this study, the third version of generalized differential evolution (GDE) is used for solving practical engineering problems. …”
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Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications by Yujie Chen, Guangyu Wang, Baichuan Yin, Chongyun Ma, Zhiqiao Wu, Ming Gao

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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…BBO has demonstrated good performance on various unconstrained and constrained benchmark functions. It has also been applied to real world optimization problems of type linear or nonlinear, nominal or ordinal as well as mixed variables. …”
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Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…It seeks to tackle the problem by creating bio-inspired optimization methods to enhance efficient and equitable deep learning for illness diagnosis. …”
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Cons-training tensor networks: Embedding and optimization over discrete linear constraints by Javier Lopez-Piqueres, Jing Chen

“…Additionally, we analyze the complexity and scalability of our approach, demonstrating its potential in addressing complex constrained combinatorial optimization problems.…”
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Optimizing Rural Connectivity Through Hybrid Wireless-Wireline and Satellite Network Integration by Fareha Nizam, Teong Chee Chuah, Ying Loong Lee

“…The resource allocation scheme is designed based on modeling and solving a quality of service (QoS)-constrained optimization problem that maximizes the weighted system throughput using convex optimization techniques. …”
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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

“…Extensive simulations across various conditions (such as diverse donor numbers and node separations) were undertaken, with the outcomes assessed against the benchmark of the single-hop scenario’s optimal solution. …”
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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

“…Specifically, the VNF placement problem is first formulated as an offline-constrained optimization problem, and then we devise an online solver using Neural Combinatorial Optimization (NCO). …”
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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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Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

“…Its dynamic adaptability renders ILS especially suitable for applications in robotics, autonomous systems, and resource-constrained environments, setting the stage for future advancements in multi-agent navigation and real-time optimization.…”
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Applications of artificial intelligence and computational intelligence in hydraulic optimization of centrifugal pumps: a comprehensive review by Yuanhui Xu, Xingcheng Gan, Ji Pei, Wenjie Wang, Jia Chen, Shouqi Yuan

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Unified Resource Allocation and Mobility Management Technique Using Particle Swarm Optimization for VLC Networks by Muhammet Selim Demir, Sadiq M. Sait, Murat Uysal

“…We formulate the resource allocation problem as a constrained nonlinear integer programming problem and solve it using meta-heuristic PSO. …”
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Finding Friendly Neighborhood: Optimal D2D Relaying in mmWave IoT Networks by J. Vamshi Vijay Krishna, V. Mahendran, Venkataramana Badarla

“…Accordingly, a geometry-based relay placement mechanism is proposed to maximize the uplink throughput. The optimality of the proposed solutions is shown analytically, and their performance concerning the state of the art is evaluated using extensive simulation.…”
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Mathematical Modelling and Optimization Methods in Geomechanically Informed Blast Design: A Systematic Literature Review by Fabian Leon, Luis Rojas, Alvaro Peña, Paola Moraga, Pedro Robles, Blanca Gana, Jose García

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