A Novel Load Scheduling Mechanism Using Artificial Neural Network Based Customer Profiles in Smart Grid by Zubair Khalid, Ghulam Abbas, Muhammad Awais, Thamer Alquthami, Muhammad Babar Rasheed

“…Then, based on suggested low tariff area, the problem is formulated as a linear programming (LP) optimization problem and is solved by using both deterministic and heuristic algorithms. The proposed mechanism is validated via extensive simulations and results show the effectiveness in terms of minimizing the electricity bill as well as intercepting the creation of minimal-price peaks. …”
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Modeling Optimal Location Distribution for Deployment of Flying Base Stations as On-Demand Connectivity Enablers in Real-World Scenarios by Jiri Pokorny, Pavel Seda, Milos Seda, Jiri Hosek

“…It is restricted by users’ throughput requirements and FBSs’ available throughput, also, all users that require connectivity must be served. Two meta-heuristic algorithms (cuckoo search and differential evolution) were implemented and verified on a real example of a music festival scenario. …”
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Solving large-scale dial-a-ride vehicle routing and scheduling problems by Jaw, Jang-Jei

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Multi-relation graph summarization by Ke, Xiangyu, Khan, Arijit, Bonchi, Francesco

“…Then, we demonstrate the shortcomings of these two-step methods, and propose holistic approaches, both approximate and heuristic algorithms, to compute a summary directly for multi-relation graphs. …”
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Coordinated batch processing machine scheduling with job delivery in semiconductor manufacturing by Fu, Qing.

“…These optimal properties are beneficial to develop heuristic algorithms. Then both effective meta-heuristics and simple heuristics are designed to obtain promising job sequences. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

“…Nowadays, many task allocation techniques are used but the most efficient technique needs to be figured out. Meta-heuristic algorithms are mostly used to solve this problem. …”
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Development of location-inventory model based on all-unit quantity discount policy by Firoozi, Zahra

“…To investigate the performance of the developed heuristic algorithms, results of the heuristics in terms of total cost and computational time (CPU time) are compared with results obtained by enumeration algorithm and results obtained by Lingo 12.0 software. …”
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Water quality prediction of the Yamuna River in India using hybrid neuro-fuzzy models by Kisi, Ozgur, Parmar, Kulwinder Singh, Amin Mahdavi-Meymand, Amin Mahdavi-Meymand, Muhammad Adnan, Rana, Shahid, Shamsuddin, Mohammad Zounemat-Kermani, Mohammad Zounemat-Kermani

“…The potential of four different neuro-fuzzy embedded meta-heuristic algorithms, particle swarm optimization, genetic algorithm, harmony search, and teaching–learning-based optimization algorithm, was investigated in this study in estimating the water quality of the Yamuna River in Delhi, India. …”
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Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks by Akanji, Oluwatobi Shadrach, Abisoye, Opeyemi Aderiike, Iliyasu, Mohammed Awwal

“…This study contributes to the ongoing research in detecting and mitigating slow HTTP DDoS attacks with emphasis on the use of machine learning classification and meta-heuristic algorithms.…”
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An Improved Grey Wolf Optimization-based Learning of Artificial Neural Network for Medical Data Classification by Kumar, Narender, Kumar, Dharmender

“…An adequate equilibrium among exploration and exploitation is a key factor to the success of meta-heuristic algorithms especially for optimization task. In this paper, a new variant of GWO, called inertia motivated GWO (IMGWO) is proposed. …”
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An Optimization of Multi-product Assembly Lines Using Simulation and Multi-Objective Programming Approach by maedeh mosayeb motlagh, Parham Azimi, maghsoud Amiri

“…Finally, to solve the structured mathematical model, two meta-heuristic algorithms (NSGA-II) and (NRGA) were considered.…”
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Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing by Ravi Sekhar, Haider Rasheed Abdulshaheed, Harshavardhan Reddy Penubadi, J. F. Tawfeq, Azmi Shawkat Abdulbaq, A. D. Radhi, Pritesh Shah, H. M. Gheni, Ritesh Khatwani, Neena Nanda, Pradip Kumar Mitra, Shubhra Aanand, Yitong Niu

“…This study proposes novel meta-heuristic algorithms to generate TDMA link schedules in WMNs using two different interference/constraint models: multi-transmit-receive (MTR) and full-duplex (FD). …”
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Generalized regression neural network and fitness dependent optimization: Application to energy harvesting of centralized TEG systems by Adeel Feroz Mirza, Syed Kamran Haider, Abbas Ahmed, Ateeq Ur Rehman, Muhammad Shafiq, Mohit Bajaj, Hossam M. Zawbaa, Pawel Szczepankowski, Salah Kamel

“…The proposed GRNNFDO control technique generates up to 7% more energy than PSO and 60% fast-tracking than meta-heuristic algorithms.…”
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Strategic incorporation of DSTATCOM and distributed generations in balanced and unbalanced radial power distribution networks considering time varying loads by Muthukumar Kandasamy, Renugadevi Thangavel, Thamaraiselvi Arumugam, Sureshkumar Kumaravel, Sakthivel Aruchamy, Wook-Won Kim, Zong Woo Geem

“…The study involves combinational choices in the use of the DSTATCOM and DG and it relies on heuristic algorithms namely the Enhanced artificial bee colony algorithm (EABC) which has been formulated based on a modification in the searching strategy of the traditional artificial bee colony algorithm (ABC) by integrating the particle swarm optimization (PSO). …”
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Resource Management in LADNs Supporting 5G V2X Communications by Ren-Hung Hwang, Faysal Marzuk, Marek Sikora, Piotr Cholda, Ying-Dar Lin

“…We solved the resource management problem by using an optimal algorithm and proposed heuristic algorithms to address the complexity of large-scale scenarios. …”
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Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization by Sayed Aresh Beheshti-Shirazi, Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Setareh Rafatirad, Houman Homayoun, Avesta Sasan, P. D. Sai Manoj

“…The Reinforcement learning solution allows the exploration and optimization of the clock tree synthesis process beyond the heuristic algorithms employed by traditional Electronic Design Automation (EDA) tools. …”
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Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark by Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Seyedali Mirjalili, Nadhir Ben Halima, Mostafa A. Elhosseini

“…However, like most meta-heuristic algorithms, SSA suffers from slow convergence and stagnation in the best local solution. …”
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Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design by Sudip Kumar De, Avishek Banerjee, Koushik Majumder, Ketan Kotecha, Ajith Abraham

“…The result of the proposed algorithm is compared with the existing literature as well as with the individual meta-heuristic algorithms (i.e., GA and PSO) to prove the competence of the MOFAC-GA-PSO algorithm. …”
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Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms by Babak Ranjgar, Seyed Vahid Razavi-Termeh, Fatemeh Foroughnia, Abolghasem Sadeghi-Niaraki, Daniele Perissin

“…Another aim of the present paper was to assess if ensembles of ANFIS with two meta-heuristic algorithms (imperialist competitive algorithm (ICA) and gray wolf optimization (GWO)) would yield a better prediction performance. …”
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Analysis and Implementation of Robust Metaheuristic Algorithm to Extract Essential Parameters of Solar Cell by Sairaj Arandhakar, Nalin Chaudhary, Shobha Rani Depuru, Rajesh Kumar Dubey, Muralidhar Nayak Bhukya

“…Among different existing meta-heuristic algorithms, Tabu Search Optimization (TSO) algorithms have robust performance due to escaping strategy from local optimum and extensive extraction ability. …”
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