A Risk Curtailment Strategy for Solar PV-Battery Integrated Competitive Power System by Arup Das, Subhojit Dawn, Sadhan Gope, Taha Selim Ustun

“…The projected method has been experienced on the IEEE 14-bus test system and IEEE 30-bus test system to examine the usefulness of the meta-heuristic algorithm in system risk analysis under the deregulated environment. …”
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Optimal Power Flow For Non-Smooth Cost Function Using Particle Swarm Optimization On 150 Kv System by Muh Rais, Bustamin Bustamin, Mochammad Apriyadi Hadi Sirad

“…Optimal power flow by considering the non-smooth cost curve using the meta-heuristic algorithm method, namely particle swarm optimization (PSO) in the 150 kV Sulselrabar electrical system. …”
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Efficient Modified Meta-Heuristic Technique for Unconstrained Optimization Problems by Khalid Abdulaziz Alnowibet, Ahmad M. Alshamrani, Adel Fahad Alrasheedi, Salem Mahdi, Mahmoud El-Alem, Abdallah Aboutahoun, Ali Wagdy Mohamed

“…In this paper, a new Modified Meta-Heuristic algorithm is proposed. This method contains some modifications to improve the performance of the simulated-annealing algorithm (SA). …”
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Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices by Firdous Qaiser, Mudassar Hussain, Abdul Ahad, Ivan Miguel Pires

“…It also introduces a controller-driven heuristic algorithm that evaluates the proximity of caching points to consumers, considering factors such as ‘distance cost,’ ‘delivery time,’ and the specific ‘status of the requested content’. …”
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DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments by Edris Khezri, Rebaz Othman Yahya, Hiwa Hassanzadeh, Mohsen Mohaidat, Sina Ahmadi, Mohammad Trik

“…Next, we provide a heuristic algorithm known as DLJSF (Data-Locality Aware Job Scheduling in Fog-Cloud) that is based on the suggested formulation. …”
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Intra-oral scan segmentation using deep learning by Shankeeth Vinayahalingam, Steven Kempers, Julian Schoep, Tzu-Ming Harry Hsu, David Anssari Moin, Bram van Ginneken, Tabea Flügge, Marcel Hanisch, Tong Xi

“…A deep-learning approach based on PointCNN and 3D U-net in combination with a rule-based heuristic algorithm and a combinatorial search algorithm was trained and validated on 1400 OS. …”
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HAP-Enabled Communications in Rural Areas: When Diverse Services Meet Inadequate Communication Infrastructures by Yongqiang Zhang, Mustafa A. Kishk, Mohamed-Slim Alouini

“…The simulation results show that the proposed dynamic DRL-based method outperforms the heuristic algorithm and can surpass the performance ceiling achieved by the proposed static allocation scheme. …”
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SASRT: Semantic-Aware Super-Resolution Transmission for Adaptive Video Streaming over Wireless Multimedia Sensor Networks by Jia Guo, Xiangyang Gong, Wendong Wang, Xirong Que, Jingyu Liu

“…Three adaptive strategies and a heuristic algorithm are proposed to solve the optimization problem. …”
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Improved Spread Spectrum Aloha Protocol and Beam-Hopping Approach for Return Channel in Satellite Internet of Things by Liang Gou, Dongming Bian, Baogui Dong, Yulei Nie

“…To match user/traffic distribution, delay requirement and channel condition with beam allocation better, a low-complexity heuristic beam scheduling algorithm and a more effective Maximum-Weighted Clique (MWC) algorithm have been proposed. The heuristic algorithm considers the user/traffic distribution, inter-beam interference, and fairness primarily. …”
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Efficient Node Deployment of Large-Scale Heterogeneous Wireless Sensor Networks by Fatma H. Elfouly, Rabie A. Ramadan, Ahmed Y. Khedr, Kusum Yadav, Ahmad Taher Azar, Mohamed A. Abdelhamed

“…The paper utilizes Swarm Intelligence as a heuristic algorithm for the large-scale deployment problem. …”
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Augmenting the space domain awareness ground architecture via decision analysis and multi-objective optimization by Albert Vasso, Richard Cobb, John Colombi, Bryan Little, David Meyer

“…Design/methodology/approach – Hypothetical telescope architectures are modeled and simulated on two separate days, then evaluated against performance measures and constraints using multi-objective optimization in a heuristic algorithm. Decision analysis and Pareto optimality identifies a set of high-performing architectures while preserving decision-maker design flexibility. …”
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Vulnerability of Transportation Networks to Traffic-Signal Tampering by Laszka, Aron, Potteiger, Bradley, Vorobeychik, Yevgeniy, Amin, Saurabh, Koutsoukos, Xenofon

“…While we prove that finding an attack that maximally impacts congestion is NP-hard, we also exhibit a polynomial-time heuristic algorithm for computing approximately optimal attacks. …”
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Efficient Design of Compact Unstructured RNA Libraries Covering All k-mers by Orenstein, Yaron, Berger Leighton, Bonnie

“…As we prove that the problem is NP-hard, we give two solutions: the first is a greedy algorithm with a logarithmic approximation ratio; the second, a heuristic greedy approach based on random walks in de Bruijn graphs. The heuristic algorithm works well in practice and produces a library of unstructured RNA probes that is only ∼1.1-times greater in size compared to the theoretical lower bound. …”
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Effects of reduced IFR arrival-arrival wake vortex separation minima and improved runaway operations sequencing on flight delay by Bly, Elizabeth, 1981-

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New results on modular inversion hidden number problem and inversive congruential generator by Xu, Jun, Sarkar, Santanu, Hu, Lei, Wang, Huaxiong, Pan, Yanbin

“…Given a sufficiently large modulus p, n+1 samples of MIHNP, we present a heuristic algorithm to recover the hidden number$$\alpha $$ with a probability close to 1 when𝛿/log2𝑝>1𝑑+1+𝑜(1𝑑). …”
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Chip temperature optimization for dark silicon many-core systems by Li, Mengquan, Liu, Weichen, Yang, Lei, Chen, Peng, Chen, Chao

“…For the worst case where even the minimum chip peak temperature exceeds the safe temperature, a heuristic algorithm, called temperature-constrained task selection (TCTS), is proposed to optimize the system performance within chip safe temperature. …”
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An adaptive opposition-based learning selection: the case for Jaya algorithm by Nasser, Abdullah, Zamli, Kamal Z., Hujainah, Fadhl, M. Ghanem, Waheed Ali, Y. Saad, Abdul Malik, Mohammed Alduais, Nayef Abdulwahab

“…Although proven useful, much existing adoption of OBL into meta-heuristic algorithms has been based on a single technique. …”
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Multi-criteria optimal design of hybrid clean energy system with battery storage considering off- and on-grid application by Arabi Nowdeh, Saber, Shohreh, Nasri, Saftjani, Parvin Barat, Naderipour, Amirreza, Abdul Malek, Zulkurnain, Kamyab, Hesam, Jafar Nowdeh, Ali

“…The angle is determined optimally using a meta-heuristic algorithm, i.e., the spotted hyena optimisation (SHO), considering minimisation of the objective function and satisfying the constraints. …”

Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers by Kumar, Sunil, Ratnoo, Saroj, Vashishtha, Jyoti

“…Further, the suggested hyper heuristic algorithm constructs significantly comprehensible models as compared to WEKA's J48, CART and other similar decision tree construction strategies. …”
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A heuristic approach of modelling developing countries' construction sector uncertainties to improve the building environment by Ursula Joyce Merveilles Pettang Nana, Cédric Cabral Fandjio Yonzou, Patrick Joël Mbiada Mbiada, Fonbeyin Henry Abanda, Chrispin Pettang

“…By adapting and applying an iterative (TABU Search), a heuristic algorithm for minimising costs and lead times, it is possible to combine virtually all the possible choices for the different variables in order to anticipate the impact and guide the decision-maker towards the scenario with the least uncertainty and a good reliability of occurrence. …”
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