Optimal Reconfiguration of Electrical Distribution System Using Heuristic Methods with Geopositioning Constraints by Edy Quintana, Esteban Inga

“…To this end, the authors have developed an iterative minimum-path heuristic algorithm. The optimal location of transformers and maintenance holes in the grid is obtained with the modified Prim algorithm, and the Greedy algorithm complements the process. …”
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Multi-store collaborative delivery optimization based on Top-K order-split by Yanju Zhang, Liping Ou, Jiaxu Liu

“…To solve the problem, a Top-K breadth-first search and a local search are integrated to construct a hybrid heuristic algorithm, named “Top-K Recommendation & Improved Local Search (TKILS)”. …”
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A New Hybrid Intelligent Search Method to Find Global Optimal Solution for Engineering Problems by mohammad reza hasanzadeh, Farshid Keynia

“…The complexity of engineering problems and the existence of various constraints on these issues, encourage the researchers to use of innovative methods based on a heuristic algorithm to find the optimal solution for practical problems at a cost-effective time and non-consistency tolerance. …”
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Pebble and rock band: heuristic resolution of repeats and scaffolding in the velvet short-read de novo assembler. by Daniel R Zerbino, Gayle K McEwen, Elliott H Margulies, Ewan Birney

“…PRINCIPAL FINDINGS: We present a novel heuristic algorithm, Pebble, which uses paired-end read information to resolve repeats and scaffold contigs to produce large-scale assemblies. …”
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A neighborhood search integer programming approach for wind farm layout optimization by J.-A. Pérez-Rúa, M. Stolpe, N. A. Cutululis

“…<p>Two models and a heuristic algorithm to address the wind farm layout optimization problem are presented. …”
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Data Collection System of IoT Based on the Coordination of Drones and Unmanned Surface Vehicle by Zhigang Wang, Liqin Tian, Lianhai Lin, Jianfei Xie, Wenxing Wu, Yinghua Tong

“…If mixed integer linear programming (MILP) is used directly, it is difficult to get satisfactory results in an acceptable time range. Therefore, a heuristic algorithm is proposed to solve the problem of data collection by these devices, which can not only quickly solve the large-scale collaborative optimization problem, but also rationally utilize the total energy consumption of the equipment. …”
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Optimization of Reinforced Concrete Sections under Compression and Biaxial Bending by Using a Parallel Firefly Algorithm by Gregorio Sánchez-Olivares, Antonio Tomás

“…In that work, it was found that the formulation produced satisfactory results when used together with three algorithms that belong to the nature-inspired meta-heuristic algorithm group. However, despite the favorable results obtained, the necessary calculation times were extensive in all the cases. …”
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Optimal Speed Plan for the Overtaking of Autonomous Vehicles on Two-Lane Highways by Said M. Easa, Maksym Diachuk

“…The factors that affect the maneuver effectiveness are analyzed, considering the safety and cost. Second, a heuristic algorithm is proposed based on the rationale for choosing the necessary space and time for overtaking. …”
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Shared MPR Sets for Moderately Dense Wireless Multihop Networks by Teruaki Kitasuka, Shigeaki Tagashira

“…Simulations are used to confirm the efficiency of using shared MPR sets. A centralized heuristic algorithm shows an MPR ratio redundancy in moderately dense networks that is about 10% of that obtained through conventional MPR selection.…”
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A Coalitional Model Predictive Control for the Energy Efficiency of Next-Generation Cellular Networks by Eva Masero, Luis A. Fletscher, José M. Maestre

“…The proposed coalitional MPC approach is applied to two simulated scenarios and compared with other control methods: the traditional best-signal level mechanism, a heuristic algorithm, and decentralized and centralized MPC schemes. …”
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Critical Nodes Identification in Complex Networks by Haihua Yang, Shi An

“…In this paper, we leverage the property of structural hole to design a heuristic algorithm based on local information of the network topology to identify node importance in undirected and unweighted network, whose adjacency matrix is symmetric. …”
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A model for Order and Inventory Planning in Alloy Steel Industry by Nasim Nahavandi, Mahdi Nakhaeinejad, Mohammad Aghdasi, Seyed Hessameddin Zegordi

“…The model could have a key role in improving production planning of steel companies by on time delivering of the orders, reducing work-in-process, and balancing utility of capacities. Finally, a heuristic algorithm based on genetic algorithm is proposed and its efficiency evaluated in an empirical case study of Iran alloy steel enterprise.…”
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Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data by Guofu Zhao

“…The simulation results show that the AC (accuracy rate) of this algorithm is 95.08%, which is higher than the traditional PSO (particle swarm optimization) algorithm and general heuristic algorithm. The hybrid algorithm can effectively improve the optimization efficiency of VRPTW, lay a foundation for solving large-scale VRPTW, and provide new research ideas and methods. …”
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Solving a multi-objective chance-constrained hub covering location problem by discrete invasive weed optimization by Seyed Hossein Nikokalam-Mozafar, Behzad Ashjari, Reza Tavakkoli-Moghaddam, Aida Omidvar

“…Then, due to the NP-hardness of the multi-objective chance-constrained HCP, the presented model is solved by a well-known meta-heuristic algorithm, namely multi-objective invasive weed optimization. …”
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Multi-store collaborative delivery optimization based on Top-K order-split. by Yanju Zhang, Liping Ou, Jiaxu Liu

“…To solve the problem, a Top-K breadth-first search and a local search are integrated to construct a hybrid heuristic algorithm, named "Top-K Recommendation & Improved Local Search (TKILS)". …”
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Optimal Allocation of Distributed Generations and Capacitor Banks in Distribution Systems Using Arithmetic Optimization Algorithm by Nihat Pamuk, Umut Emre Uzun

“…The AOA is a new population-based meta-heuristic algorithm that is essentially based on using basic arithmetic operators in mathematics. …”
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Optimizing Fleet Utilization by Adjusting Customer Delivery Appointment Times by Copley, Colleen, Lu, Charles

“…Niagara hypothesizes that if these delivery appointments were more evenly distributed throughout the day, the same number of loads could be delivered with fewer trucks and therefore less cost. A heuristic algorithm is created to maximize fleet utilization by modifying these delivery appointment windows so that multiple scenarios can be compared based on fleet utilization and cost savings metrics. …”
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Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing by Wang, Da, Joshi, Gauri, Wornell, Gregory W

“…We also propose a heuristic algorithm to search for the best replication strategies when it is difficult to model the empirical behavior of task execution time and use the proposed analysis techniques. …”
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WCBP: A new water cycle based back propagation algorithm for data classification by Mohd. Nawi, Nazri, Khan, Abdullah, Firdaus, Naim, M. Z., Rehman, Siming, Insaf Ali

“…Water Cycle algorithm is a modern nature inspired meta-heuristic algorithm to provide derivative-free solution to optimize complex problems. …”
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Binary accelerated particle swarm algorithm (BAPSA) for discrete optimization problems by Beheshti, Zahra, Shamsuddin, Siti Mariyam, Yuhaniz, Siti Sophiayati

“…In this paper, a meta-heuristic algorithm based on Binary Particle Swarm Algorithm (BPSO) and the governing Newtonian motion laws, so-called Binary Accelerated Particle Swarm Algorithm (BAPSA) is offered for discrete search spaces. …”