PEMBUATAN RUTE ALTERNATIF BERBASIS WEB-GIS UNTUK MENGHINDARI KEMACETAN LALULINTAS DI KOTA TANGERANG SELATAN by , MUHAMMAD IQNAUL HAQ, , Drs. Retnadi Heru Jatmiko, M.Sc.

“…A-star algorithm is one of the heuristic algorithms, where the cost is made by actual cost added with estimation cost. …”

Development of a heuristic procedure for balancing mixed-model parallel assembly line type II by Esmaeilian, Gholamreza

“…To solve these problems, two heuristic algorithms were developed and coded in MATLAB®. …”
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Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks by Raja Mohd Auzar, Tengku Dian Shahida

“…Lastly, a comparison is made through simulation between all algorithms developed in this research with previous Zero-based algorithms as well as traditional Heuristic algorithms since equal routing results can be obtained between all algorithms. …”
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Lightpath routing for disaster survivability in optical networks by Ashraf, Muhammad Waqar

“…In this work, two novel disaster-resilient heuristic algorithms are proposed. First algorithm finds a pair of lightpaths with a maximum value of minimum spatial distance in order to enhance network survivability against spatial-based concurrent fiber failures, while second algorithm finds a pair of lightpaths in which length of primary lightpath is minimized but constrained by minimum spatial distance. …”
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Spatial prediction of landslide susceptibility using GIS-based data mining techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) by Chen, Wei, Hong, Haoyuan, Panahi, Mahdi, Shahabi, Himan, Wang, Yi, Shirzadi, Ataollah, Pirasteh, Saied, Alesheikh, Ali Asghar, Khosravi, Khabat, Panahi, Somayeh, Rezaie, Fatemeh, Li, Shaojun, Jaafari, Abolfazl, Dieu, Tien Bui, Ahmad, Baharin

“…It means that WOA and GWO are used as two meta-heuristic algorithms to improve the prediction performance of the ANFIS-based methods. …”
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Big Data Analytics for Short and Medium-Term Electricity Load Forecasting Using an AI Techniques Ensembler by Nasir Ayub, Muhammad Irfan, Muhammad Awais, Usman Ali, Tariq Ali, Mohammed Hamdi, Abdullah Alghamdi, Fazal Muhammad

“…The load forecasting is performed with Support Vector Machines (SVM) and a hybrid of Gated Recurrent Units (GRU) and Convolutional Neural Networks (CNN). The meta-heuristic algorithms, i.e., Grey Wolf Optimization (GWO) and Earth Worm Optimization (EWO) are applied to tune the hyper-parameters of SVM and CNN-GRU, respectively. …”
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A Review of Optimal Design for Large-Scale Micro-Irrigation Pipe Network Systems by Yafei Wang, Yangkai Zhang, Wenjuan Wang, Zhengguang Liu, Xingjiao Yu, Henan Li, Wene Wang, Xiaotao Hu

“…Additionally, this paper provides an extensive overview of deterministic methods and heuristic algorithms utilized in the optimal design of micro-irrigation pipeline networks. …”
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Landslide susceptibility mapping and management in Western Serbia: an analysis of ANFIS- and SVM-based hybrid models by Ismail Elkhrachy, Rajeev Ranjan Yadav, Ali Nouh Mabdeh, Phong Nguyen Thanh, Phong Nguyen Thanh, Velibor Spalevic, Branislav Dudic, Branislav Dudic

“…To address this issue, this paper aims to compare six hybrid models constructed with two well-known and powerful ML models, namely SVM and ANFIS, and three meta-heuristic algorithms, namely Genetic Algorithm (GA), Differential Evolution (DE), and Cultural Algorithm (CA), for LSM in a case study in western Serbia. …”
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New Parameter Reduction of Soft Sets by Ma, Xiuqin

“…In this thesis, four new parameter reductions of the interval-valued fuzzy soft sets are proposed: Optimal Choice Considered Parameter Reduction (OCCPR), Invariable Rank of Decision Choice Considered Parameter Reduction (IRDCCPR), Standard Parameter Reduction (SPR) and Approximate Standard Parameter Reduction (ASPR). The related heuristic algorithms are given. In order to show the high efficiency of the proposed four algorithms, comparisons and analysis for decision making between OCCPR, IRDCCPR, ASPR, SPR and directly Interval-Valued Fuzzy Soft Sets based Fuzzy Decision Making algorithm (IVFSS-FDM) with three real-life datasets and ten synthetic generated datasets are made. …”
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An Improved Search and Rescue Algorithm for Global Optimization and Blood Cell Image Segmentation by Essam H. Houssein, Gaber M. Mohamed, Nagwan Abdel Samee, Reem Alkanhel, Ibrahim A. Ibrahim, Yaser M. Wazery

“…The SAR algorithm is one of the most popular meta-heuristic algorithms (MHs) that mimics humans’ exploration behavior during search and rescue operations. …”
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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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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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QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing by Sidra Abid Syed, Munaf Rashid, Samreen Hussain, Fahad Azim, Hira Zahid, Asif Umer, Abdul Waheed, Mahdi Zareei, Cesar Vargas-Rosales

“…We proposed QoS aware and fault tolerance-based software-defined V vehicular networks using Cloud-fog computing (QAFT-SDVN) to address the above issues. We provided heuristic algorithms to solve the above limitations. The proposed model gets vehicle messages through SDN nodes which are placed on fog nodes. …”
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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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