A High Performance Optimizing Method for Modeling Photovoltaic Cells and Modules Array Based on Discrete Symbiosis Organism Search by Chaabane Bouali, Horst Schulte, Abdelkader Mami

“…The high performance of such a method is attributable to the simplicity of the algorithm used; this algorithm is different from other heuristic algorithms, in that the GA needs two tuning parameters, i.e., the cross over and mutation rate, while the harmony search needs three rules to adjust and improvise new harmony, being memory consideration, pitch adjustment, and random choosing. …”
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ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks by Vaibhav Kotiyal, Abhilash Singh, Sandeep Sharma, Jaiprakash Nagar, Cheng-Chi Lee

“…A promising method to localise these randomly deployed sensors is to use bio-inspired meta-heuristic algorithms. In this way, a node localisation problem is converted to an optimisation problem. …”
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Swarm intelligence machine-learning-assisted progressive global optimization of DNAPL-contaminated aquifer remediation strategy by Yunfeng Zhang, Huanliang Chen, Minghui Lv, Zeyu Hou, Yu Wang

“…It effectively improved the searching ability of the traditional heuristic algorithms. HIGHLIGHTS A swarm intelligence multi-kernel extreme learning machine is proposed to sufficiently approximate the multiphase flow numerical model.; A mixed-integer multi-objective model is established to realize the comprehensive SEAR strategy optimization.; A hyper-heuristic homotopy algorithm is constructed as a more efficient tool for progressively searching the global optimum in wide areas…”
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Hybridizing Chaotic and Quantum Mechanisms and Fruit Fly Optimization Algorithm with Least Squares Support Vector Regression Model in Electric Load Forecasting by Ming-Wei Li, Jing Geng, Wei-Chiang Hong, Yang Zhang

“…To solve the abovementioned characteristics of a MEL time series, the least squares support vector machine (LS-SVR) hybridizing with meta-heuristic algorithms is applied to simulate the nonlinear system of a MEL time series. …”
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IHAOAVOA: An improved hybrid aquila optimizer and African vultures optimization algorithm for global optimization problems by Yaning Xiao, Yanling Guo, Hao Cui, Yangwei Wang, Jian Li, Yapeng Zhang

“…Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of Aquila and African vulture in nature, respectively. …”
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GENERATION OF TEST BASES OF RULES FOR THE ANALYSIS OF PRODUCTIVITY OF LOGICAL INFERENCE ENGINE by Svitlana Shapovalova

“…Conclusions: it was proposed a semantic model of the knowledge base in the form of AND/OR-graph, which allows you to test the effectiveness of the implementation of conflict resolution strategies, as well as heuristic algorithms; a method of creating tests for inference mechanisms, which allows you to generate a database of rules and a set of data of certain sizes, as well as to model the complexity of finding the target output and activating the rules. …”
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DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling by Tegg Taekyong Sung, Jeongsoo Ha, Jeewoo Kim, Alex Yahja, Chae-Bong Sohn, Bo Ryu

“…Traditionally, heuristic algorithms have been widely used for many resource scheduling domains, and Heterogeneous Earliest Finish Time (HEFT) has been a dominating state-of-the-art technique across a broad range of heterogeneous resource scheduling domains over many years. …”
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An Optimal Energy Management System for University Campus Using the Hybrid Firefly Lion Algorithm (FLA) by Haneef Ullah, Murad Khan, Irshad Hussain, Ibrar Ullah, Peerapong Uthansakul, Naeem Khan

“…We have not only applied two bio-inspired heuristic algorithms for energy scheduling—namely, the Firefly Algorithm (FA) and the Lion Algorithm (LA)—but also proposed a hybrid version, FLA, for more optimal results. …”
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Multi-hazard spatial modeling via ensembles of machine learning and meta-heuristic techniques by Mojgan Bordbar, Hossein Aghamohammadi, Hamid Reza Pourghasemi, Zahra Azizi

“…In the next step, the ANFIS machine learning algorithm was used in combination with PSO and GWO meta-heuristic algorithms to train the data, and SWARA-ANFIS-PSO and SWARA-ANFIS-GWO susceptibility maps were separately generated for flood and landslide hazards. …”
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Task Scheduling Approach in Cloud Computing Environment Using Hybrid Differential Evolution by Mohamed Abdel-Basset, Reda Mohamed, Waleed Abd Elkhalik, Marwa Sharawi, Karam M. Sallam

“…Compared to the other metaheuristic and heuristic algorithms considered, the results of the studies indicated that HDE generated superior outcomes. …”
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A Novel Bio-Inspired Algorithm Based on Social Spiders for Improving Performance and Efficiency of Data Clustering by Thalamala Ravi Chandran, Venkata Swamy Reddy A., Janet B.

“…Swarm intelligence is the branch of artificial intelligence that deals with the implementation of intelligent systems by taking inspiration from the collective behavior of social insects and other societies of animals. Many meta-heuristic algorithms based on aggregative conduct of swarms through complex interactions with no supervision have been used to solve complex optimization problems. …”
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System Profit Improvement of a Thermal–Wind–CAES Hybrid System Considering Imbalance Cost in the Electricity Market by Mitul Ranjan Chakraborty, Subhojit Dawn, Pradip Kumar Saha, Jayanta Bhusan Basu, Taha Selim Ustun

“…The final section of this paper presents an economic risk analysis using heuristic algorithms such as sequential quadratic programming (SQP), artificial bee colony algorithms (ABC), and moth flame optimization algorithms (MFO). …”
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Trajectory Control of Robotic Manipulator using Metaheuristic Algorithms by Devendra Rawat, Mukul Kumar Gupta, Abhinav Sharma

“…Four different meta-heuristic algorithms namely Sooty tern optimization (STO), Spotted Hyena optimizer (SHO), Atom Search optimization (ASO), and Arithmetic Optimization algorithm (AOA) are used to optimize the gains of PID controller for trajectory control of a two-link robotic manipulator and a novel hybrid sooty tern and particle swarm optimization (STOPSO) has been designed. …”
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IHSCR: Energy-efficient clustering and routing for wireless sensor networks based on harmony search algorithm by Bing Zeng, Yan Dong, Xinyu Li, Liang Gao

“…As clustering and routing for improving the energy efficiency of wireless sensor networks are NP-hard problems, increasing meta-heuristic algorithms are introduced for solving them. However, due to their discreteness and strong constraints, most meta-heuristics are unsuitable or inefficient to optimize them. …”
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Single Machine Scheduling Proportionally Deteriorating Jobs with Ready Times Subject to the Total Weighted Completion Time Minimization by Zheng-Guo Lv, Li-Han Zhang, Xiao-Yuan Wang, Ji-Bo Wang

“…In addition, some meta-heuristic algorithms (including the tabu search (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>T</mi><mi>S</mi></mrow></semantics></math></inline-formula>), simulated annealing (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mi>A</mi></mrow></semantics></math></inline-formula>) and heuristic (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>E</mi><mi>H</mi></mrow></semantics></math></inline-formula>) algorithms) are proposed. …”
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Analysis of Epidemic Models in Complex Networks and Node Isolation Strategie Proposal for Reducing Virus Propagation by Carlos Rodríguez Lucatero

“…This problem is NP-complete in its general case and for this reason, heuristic algorithms have been proposed. In this article, I will perform simulations of an SIS-type model in topologies with the same number of nodes but with different structures to compare their epidemic behavior. …”
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A topological algorithm for identification of structural domains of proteins by Emmert-Streib Frank, Mushegian Arcady

“…Despite the barebone simplicity of the approach, our algorithm approaches the best heuristic algorithms in accuracy.</p> <p>Conclusion</p> <p>Our graph-theoretical algorithm uses only topological information present in the protein structure itself to find the domains and does not rely on any geometrical or physical information about protein molecule. …”
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White Blood Cells Classification Using Entropy-Controlled Deep Features Optimization by Riaz Ahmad, Muhammad Awais, Nabeela Kausar, Tallha Akram

“…The feature selection algorithm also demonstrates better convergence performance as compared to classical meta-heuristic algorithms. The proposed method also demonstrates a comparable performance with several existing works on WBC classification.…”
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Hybrid machine learning-metaheuristic model for sustainable agri-food production and supply chain planning under water scarcity by Mobina Mousapour Mamoudan, Ali Jafari, Zahra Mohammadnazari, Mohammad Mahdi Nasiri, Maziar Yazdani

“…To bridge this research gap and contribute to mitigating the global water crisis induced by climate change, this study proposes a hybrid model that combines optimized neural networks based on meta-heuristic algorithms and mathematical optimization for a sustainable agricultural supply chain. …”
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Hit and run crashes: Knowledge extraction from bicycle involved crashes using first and frugal tree by Subasish Das, Anandi Dutta, Xiaoqiang Kong, Xiaoduan Sun

“…We present an analysis of the effect of crash, geometric, and environmental characteristics on the bicycle-involved hit and run crashes by using six years of Louisiana crash data with an application of fast and frugal tree (FFT) heuristics algorithm. Over 1000 bicycle-involved hit and run crashes occurred in Louisiana out of around 108,000 hit and run crashes during 2010–2015. …”
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