Optimal Power Flow in Distribution Network: A Review on Problem Formulation and Optimization Methods by Cheng Yang, Yupeng Sun, Yujie Zou, Fei Zheng, Shuangyu Liu, Bochao Zhao, Ming Wu, Haoyang Cui

“…On the other hand, heuristic algorithms exhibit robustness but may not ensure global optimality. …”
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Energy efficient temporal load aware resource allocation in cloud computing datacenters by Shahin Vakilinia

“…The results show optimization achieves significant power savings compared to the heuristic algorithms. We believe that our work advances state-of-the art in dynamic power management of datacenters and the results will be helpful to cloud service providers in achieving energy saving.…”
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Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system by Karthikeyan Moothampalayam Sampathkumar, Saravanan Ramasamy, Balamurugan Ramasubbu, Saravanan Karuppanan, Balaji Lakshminarayanan

“…HIGHLIGHTS Hybrid optimization model using three meta-heuristic algorithms (GA, BFO and ACO) was developed.; The developed hybrid model is used for optimizing the cropping area, conjunctive water allocation and net returns for different reaches.; The net returns from the developed hybrid model (GA-BFO-ACO) outperform GA- BFO model.; The developed hybrid model is the first of its kind to unravel the sharing of water resources for profit maximization which can be adopted globally to overcome chronic water problems…”
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5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy by Abdulhalim Fayad, Tibor Cinkler, Jacek Rak

“…Moreover, we developed two heuristic algorithms: Simulated Annealing (SA) and Distance-Aware (DA) greedy, to mitigate the impact of the problem complexity and resolve the ILP scalability issue. …”
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Mobility-Aware Coded Probabilistic Caching Scheme for MEC-Enabled Small Cell Networks by Xinwei Liu, Jiaxin Zhang, Xing Zhang, Wenbo Wang

“…Due to the complexity of the expression, two light-weight heuristic algorithms are provided to numerically obtain the optimal solutions. …”
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Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning by Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed

“…Conclusion Once trained on carefully annotated data, Deep Learning based methods for optic disc detection and localization are not only robust, accurate and fully automated but also eliminates the need for dataset-dependent heuristic algorithms. Our empirical evaluation of glaucoma classification on ORIGA reveals that reporting only Area Under the Curve, for datasets with class imbalance and without pre-defined train and test splits, does not portray true picture of the classifier’s performance and calls for additional performance metrics to substantiate the results.…”
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A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem by Asma Meddeb, Nesrine Amor, Mohamed Abbes, Souad Chebbi

“…The accuracy and the performance of the proposed algorithm were performed and compared to other meta-heuristic algorithms reported in the literature. Several tests are applied on two standard test systems, including IEEE 14-bus and IEEE 30-bus as well as on the large-scale Tunisian 86-bus system. …”
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Choice Modeling and Assortment Optimization on the Transformer Model by Jiang, Qingxuan

“…While the general assortment optimization problem is complex and in-tractable, we empirically evaluate and compare several heuristic algorithms, including random search, quadratic approximation, and local search. …”
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Cyclic exchange and related neighborhood structures for combinatorial optimization problems by Sharma, Dushyant, 1975-

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Supply chain optimization : formulations and algorithms by Wike, Carl E., 1948-

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A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems by Yaseen, Zaher, Ehteram, Mohammad, Hossain, Md., Fai, Chow, Koting, Suhana, Mohd, Nuruol Syuhadaa, Jaafar, Wan Zurina Wan, Afan, Haitham Abdulmohsin, Lai, Sai Hin, Zaini, Nuratiah, Ahmed, Ali, El-Shafie, Ahmed

“…The current research is devoted to the implementation of hybrid novel meta-heuristic algorithms (e.g., the bat algorithm (BA) and particle swarm optimization (PSO) algorithm) to formulate multi-purpose systems for power production and irrigation supply. …”

Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals by Homayouni, Seyed Mahdi

“…Therefore, two meta-heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA) algorithm, were developed to optimize the integrated scheduling of handling equipment. …”
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A bi-objective hybrid vibration damping optimization model for synchronous flow shop scheduling problems by Madjid Tavana, Vahid Hajipour, Mohammad Alaghebandha, Debora Di Caprio

“…Indeed, even though variants of the aforementioned meta-heuristic algorithms have been largely introduced in multi-objective environments, a simultaneous implementation of these algorithms as well as a compared study of their performance when solving flow shop scheduling problems has been so far overlooked.…”
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An Overview of Algorithms for Solving Vehicle Routing Problems in the Quantum-Classical Cloud by Leonid Hulianitskyi, Vyacheslav Korolyov, Oleksandr Khodzinskyi

“…The inaccuracy of the solutions obtained by the QC is a consequence of physical and technological limitations: calculation errors are caused by thermal noise, a small number of computational elements - qubits and connections between them, which requires the decomposition of the problem and the use of heuristic algorithms. The analysis of approaches to the solution of optimization problems on QC allows us to single out: quantum response and variational search of eigenvalues based on quantum logic gates as the general directions of development of the vast majority of algorithms for solving routing problems. …”
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Optimizing Smart Supply Chain with Vendor Managed Inventory through the Internet of Things by Tahereh Mohammadi, Seyed Mojtaba Sajadi, Seyed Esmaeil Najafi, Mohammadreza Taghizadeh Yazdi

“…However, due to the lack of memory in GAMS software, for large dimensions, the suggested mathematical model for the smart supply chain needs to be checked using MATLAB software and meta-heuristic algorithms.…”
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Production Wastage Avoidance Using Modified Multi-Objective Teaching Learning Based Optimization Embedded With Refined Learning Scheme by Elango Natarajan, V. Kaviarasan, Koon Meng Ang, Wei Hong Lim, Sangeetha Elango, Sew Sun Tiang

“…A benchmarking on the performance of MMTLBO-RLS in solving CEC 2009 multiobjective benchmark functions was further carried out with other seven meta-heuristic algorithms. The superior performance of MMTLBO-RLS proves that it is not only suitable to be used in industries to produce the parts of PEEK with supportive quality and quantity, but it is also able to solve other multiobjective optimization problems with competitive performances.…”
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Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations by Amin Abdollahi Dehkordi, Bahareh Etaati, Mehdi Neshat, Seyedali Mirjalili

“…Meta-heuristic algorithms have been effectively employed to tackle a wide range of optimisation issues, including structural engineering challenges. …”
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A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing by Adeel Ahmed, Saima Abdullah, Saman Iftikhar, Israr Ahmad, Siddiqa Ajmal, Qamar Hussain

“…We propose a Software-defined Fault Tolerance and QoS-Aware (Quality of Service) IoT-Based Vehicular Networks Using Edge Computing Secured by Blockchain to reduce overall communication delay, message failure fault tolerance, and secure service provisioning for VANET ad-hoc networks in this article. We proposed heuristic algorithms to solve the above mentioned problems of response delay, message failure, fault tolerance, and security provided by the Blockchain. …”
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Prediction of yard crane operation sequence and vehicle departure times at a yard block in container terminals by Pang, Pangianto

“…With the predicted arrival time and deadlines of jobs which are given by vehicle dispatching subsystem, YC dispatching subsystem will sequence out jobs to be served based on heuristic and optimal algorithms. Heuristic algorithms provides a good estimation to the optimal solution and can give an solution in a short time. …”
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Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain by Sadrnia, Abdolhossein

“…Therefore, various meta-heuristic algorithms have been tried by researchers. In this research, a new Multi-Objective Logistics Network Model for Automotive Closed-Loop Supply Chain (MOACLSC) for recovering ELVs was developed. …”
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