An Unmanned Sweeper Path Planning Algorithm for Structured Roads by Lei He, Baoyun Wang, Yunshan Peng, Xiucai Zhang

“…The algorithm treats lanes in structured roads as nodes and utilizes the A* algorithm to compute the path distances between all lane nodes, constructing a cost matrix, and the pre-traversal lane node sequence is found through the heuristic algorithm. The A* algorithm is then used to search for the shortest path between adjacent pre-traversal lane nodes, and this shortest path lane sequence is added to the pre-traversal node sequence. …”
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Energy Efficient Cooperative Sleep Control Using Small Cell for Wireless Networks by Yuan Gao, Yi Li, Hongyi Yu, Xianfeng Wang, Shihai Gao, Peng Xue

“…This paper has two main contributions: first of all, we propose a semistatic energy efficient method to find out the optimal on-off pattern considering the interference from adjacent base stations using integer convex optimization, from which the optimal on-off proportion of base stations could be obtained; then we propose a novel energy efficient cooperative heuristic algorithm in dynamic scenario, by separating the waiting time into two independent Markov processes using the new method; the total power consumption could be reduced significantly by adopting the novel method. …”
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A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance by Binbin Tu, Fei Wang, Yan Huo, Xiaotian Wang

“…Abstract The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity, falling into local optimal solutions easily, and unsatisfactory convergence speed. …”
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A Fuzzy Approach for Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows using Improved PSO (Case Study) by Saeed Alinezhad, سعید یعقوبی, Seyyed-Mahdi Hosseini-Motalgh

“…We also proposed a hybrid meta-heuristic algorithm called Improved Particle Swarm Optimization (IPSO) for solving the problem. …”
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Minimum Length Scheduling for Multi-Cell Full Duplex Wireless Powered Communication Networks by Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri

“…For the scheduling problem, we propose a heuristic algorithm that aims to maximize the number of concurrently transmitting users by maximizing the allowable interference on each user without violating the signal-to-noise-ratio (SNR) requirements. …”
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An Efficient and Robust Improved Whale Optimization Algorithm for Large Scale Global Optimization Problems by Guanglei Sun, Youlin Shang, Roxin Zhang

“…As an efficient meta-heuristic algorithm, the whale optimization algorithm (WOA) has been extensively applied to practical problems. …”
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A Sensitive Secondary Users Selection Algorithm for Cognitive Radio Ad Hoc Networks by Aohan Li, Guangjie Han, Liangtian Wan, Lei Shu

“…Considering the NP-hardness of the problem, a framework of a heuristic algorithm referred to as Sensitive Secondary Users Selection (SSUS) was designed to compute the near-optimal solutions. …”
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Deep Learning-Based Prediction and Revenue Optimization for Online Platform User Journeys by Tzu-Chien Wang

“…Then, convolutional neural networks (CNN) and long short-term memory (LSTM) networks predict user behavior and conversion values from sequential data. Finally, the heuristic algorithm optimizes revenue within budget constraints based on conversions. …”
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Efficient Association Rules Hiding Using Genetic Algorithms by Naadiya Khuda Bux, Mingming Lu, Jianxin Wang, Saajid Hussain, Yazan Aljeroudi

“…Various approaches and algorithms have been developed for sensitive association rules hiding, differentiated according to their hiding performance through utility preservation, prevention of ghost rules, and computational complexity. A meta-heuristic algorithm is a good candidate to solve the problem of SARH due to its selective and parallel search behavior, avoiding local minima capability. …”
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Optimized RNN-oriented power quality enhancement and THD reduction for micro grid integration of PV system with MLI: Crow Search-based Harris Hawks Optimization concept by Praveena A., Sathishkumar K.

“…The micro grid integration of the introduced inverter is controlled by Optimized Recurrent Neural Network (ORNN), where the hidden neurons are tuned by novel hybrid meta heuristic algorithm by merging Crow Search Algorithm (CSA) and Harris Hawks Optimization (HHO) leading to Crow Search-based Harris Hawks Optimization (CS-HHO). …”
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A Resource Allocation Algorithm for Collaborative Networks Using Inferred Information by David Garrido, Mai Zhang, Borja Peleato

“…This work proposes a branch and bound algorithm for maximizing the overall sum rate over multiple interfering networks with a pre-fixed set of offered flows, as well as a heuristic algorithm that individual networks can follow to collaboratively share the available bandwidth with that same objective. …”
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An Improved Slime Mould Algorithm for Demand Estimation of Urban Water Resources by Kanhua Yu, Lili Liu, Zhe Chen

“…A slime mould algorithm (SMA) is a new meta-heuristic algorithm, which can be widely used in practical engineering problems. …”
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Complex Production-Inventory Replenishment Problem With Uncertainty in Customer Behaviour by Tunde Adediran, Ammar Al-Bazi

“…An innovative framework that embeds agent-based simulation, heuristic algorithm, and inventory replenishment strategy is proposed to tackle these disruption problems. …”
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A Data-Driven Heuristic Method for Irregular Flight Recovery by Nianyi Wang, Huiling Wang, Shan Pei, Boyu Zhang

“…Inspired by the results of the data analysis, we develop a heuristic algorithm that imitates dispatcher actions. The algorithm is based on two basic operations: swapping the tail numbers of two flights and resetting their flight departure times. …”
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Scheduling of construction projects using a combination of multi-objective programming and optimization via simulation by Seyed Mohammad Ali Khatami Firouzabadi, Majid Bagheri, Samuel Yousefi

“…In this research project scheduling problem network will model using ED simulation software and the results of the simulation and a meta-heuristic algorithm has been compared. Finally, management strategies to optimize the scheduling, i.e such minimize total time, cost and resource leveling, will be offered.…”
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Time-optimal multi-qubit gates: Complexity, efficient heuristic and gate-time bounds by Pascal Baßler, Markus Heinrich, Martin Kliesch

“…Third, we develop a heuristic algorithm with polynomial runtime for synthesizing fast multi-qubit gates. …”
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An Improved Butterfly Optimization Algorithm for Engineering Design Problems Using the Cross-Entropy Method by Guocheng Li, Fei Shuang, Pan Zhao, Chengyi Le

“…An excellent meta-heuristic algorithm has two symmetric search capabilities: local search and global search. …”
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A Hybrid Particle Swarm Optimization Algorithm Enhanced with Nonlinear Inertial Weight and Gaussian Mutation for Job Shop Scheduling Problems by Hongli Yu, Yuelin Gao, Le Wang, Jiangtao Meng

“…Therefore, scholars in many different fields have been attracted to study this problem, and many meta-heuristic algorithms have been proposed to solve this problem. …”
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Lipreading Using Liquid State Machine with STDP-Tuning by Xuhu Yu, Zhong Wan, Zehao Shi, Lei Wang

“…On the other hand, a heuristic algorithm is used to select appropriate parameters for the classifier in the backend. …”
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Unrelated parallel machine energy-efficient scheduling considering sequence-dependent setup times and time-of-use electricity tariffs by Hemen Sanati, Ghasem Moslehi, Mohammad Reisi-Nafchi

“…Furthermore, a fix and relax heuristic algorithm is presented for large-size instances, which can solve instances of up to 20 machines and 100 jobs for each of the two considered problems.…”
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