Search Results - "heuristic algorithm"

End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…Subsequently, a heuristic algorithm iteratively is employed to solve the upper and lower level problems, thereby obtaining forecasting results and scheduling schemes which minimize the operational costs. …”
Get full text

The Spanning Tree of a Divisible Multiple Graph by Alexander V. Smirnov

“…In the article, we suggest a heuristic algorithm for the minimum complete spanning tree problem for a divisible graph.…”
Get full text

Manufacturing engineering production line scheduling management technology integrating availability constraints and heuristic rules by Gu Yun

“…In comparing the performance of heuristic algorithms with other algorithms, the optimization rates of heuristic algorithms with SHPSO, QLINSGA-II, and Q-Learning-Sarsa-K-mes-GA were 96.7, 90, 78.6, and 84.7%, respectively. …”
Get full text

Optimization of digital filters performances simultaneously in frequency and time domains by A. V. Smirnov

“…In either method the hybrid heuristic algorithm was applied for search optimal solutions in the space of TF poles and zeroes coordinates. …”
Get full text

Offshore Wind Farm Layout Optimization Considering the Power Collection System Cost by S. G. Obukhov, D. Y. Davydov

“…To solve this problem, a heuristic algorithm was used to search for a minimum spanning tree with a restriction on the conductivity of connections, which made it possible to build realistic schemes and more adequately assess their technical and economic characteristics. …”
Get full text

Heuristic decision making selection of drone models according to specified characteristics by V. V. Afonin, V. V. Nikulin

“…Assuming that several models of drones with the same characteristics are being considered, divided into the specified groups, numerical coefficients are introduced to form a metric by which a given line or selection of drones will be ranked according to the calculated metrics.Conclusion. The proposed heuristic algorithm is based on the transition to the reduced values of numerical characteristics relative to the maximum of each group of characteristics with the calculation of the arithmetic mean of the given values. …”
Get full text

A Two-Stage Optimization Framework for UAV Fleet Sizing and Task Allocation in Emergency Logistics Using the GWO and CBBA by Yongchao Zhang, Wei Xu, Helin Ye, Zhuoyong Shi

“…We validated our GWO-CBBA framework through extensive simulations against three benchmarks: a standard CBBA with a fixed fleet, a centralized Particle Swarm Optimization (PSO) approach, and a Greedy Heuristic algorithm. The results are compelling: our framework demonstrates superior performance across all key metrics, reducing the overall scheduling cost by 13.2–36.5%, minimizing UAV mileage cost and significantly decreasing total task waiting time. …”
Get full text

Order Picking Problem: A Model for the Joint Optimisation of Order Batching, Batch Assignment Sequencing, and Picking Routing by Antonio Maria Coruzzolo, Francesco Lolli, Elia Balugani, Elisa Magnani, Miguel Afonso Sellitto

“…As both models were too complex to test, the earliest due date constructive heuristic algorithm was developed. To improve the solution, we implemented various algorithms, from multi-start with random ordering to more complex like iterated local search. …”
Get full text

Resilient service function chain initial deployment and dynamic replacement towards 6G networks by Deqiang Zhou, Xinsheng Ji, Wei You, Yu Zhao, Hang Qiu, Mingyan Xu

“…To solve the RADSID problem, we propose a heuristic algorithm, Greedy k-Shortest Path (GkSP), which can address the initial deployment and SFC dynamic replacement of DHRSFC in an integrated way. …”
Get full text

An Effective Local Search Algorithm for Flexible Job Shop Scheduling in Intelligent Manufacturing Systems by Junjie Zhang, Zhipeng Lü, Junwen Ding, Zhouxing Su, Xinyu Li, Liang Gao

“…Nevertheless, AWLS establishes new records on 8 challenging instances whose previous best records were established by a state-of-the-art meta-heuristic algorithm and a famous industrial solver.…”
Get full text

Penerapan Metode K-Means Berbasis Jarak untuk Deteksi Kendaraan Bergerak by Yuslena Sari, Andreyan Rizky Baskara, Puguh Budi Prakoso

“…In general, K-Means is a heuristic algorithm that partitioned the data set into K clusters by minimizing the number of squared distances in each cluster. …”
Get full text

Advanced Queueing and Location-Allocation Strategies for Sustainable Food Supply Chain by Amirmohammad Paksaz, Hanieh Zareian Beinabadi, Babak Moradi, Mobina Mousapour Mamoudan, Amir Aghsami

“…<i>Methods:</i> The grasshopper optimization algorithm (GOA), a meta-heuristic algorithm inspired by the behavior of grasshopper swarms, is utilized to solve the model on a large scale. …”
Get full text

Charging policies for battery swapping station for hybrid motorcycles by Alejandro Uribe, Mariana Yepes, Juan Pablo González-Alzate, Alejandro Arenas-Vasco, Alejandro Montoya, Ricardo Mejía-Gutiérrez

“…This research proposes a method to determine charging policies for hybrid motorcycle fleets using mixed integer linear programming (MILP) and a simple greedy heuristic algorithm to minimize battery degradation and reduce the operating costs of a BS station designed for hybrid motorcycles. …”
Get full text

Entire aerial-aquatic trajectory modeling and optimization for trans-medium vehicles by Teng Long, Nianhui Ye, Baoshou Zhang, Jingliang Sun, Renhe Shi

“…Rather than directly optimizing by a heuristic algorithm, a multi-surrogate cooperative sampling-based optimization method is proposed to alleviate the computational complexity of the entire trajectory optimization problem. …”
Get full text

Bandwidth Reservation for Tenants in Reconfigurable Optical OFDM Datacenter Networks by Aijun Liu, Yongmei Sun, Yuefeng Ji

“…The results also show that the suboptimal solution to SA is better than those provided by the three heuristic algorithms.…”
Get full text

Acp-mo: a novel metaheuristic optimization algorithm based on an advanced ceramic processing metaphor for optimization by Jincheng Zhang

“…In the field of modern optimization, heuristic algorithms are widely used in various optimization tasks due to their excellent performance on complex problems. …”
Get full text

Optimization of Interval Type-2 Fuzzy Logic System By using A New Hybrid Method of Whale Optimization algorithm and Extreme Learning Machine by Mohammed Qasim Ibrahim, Nazar Khalaf Hussein Al-Dikhil

“…The Researchers have used many methods and algorithms to solve this problem, and among the most important algorithms used in this field are the)Meta-heuristic) algorithms. Because Meta-heuristic algorithms have a high capacity in the practical field, so we used one of the modern algorithms in this field, which is the Whale Optimization algorithm (WOA). …”
Get full text

The Next Generation Wireless Network Deployment Using Machine Learning Based Multi-Objective Genetic Algorithm by Mahesh H. B, Ali Ahammed G. F, Usha S. M

“…The work is compared with the meta-heuristic algorithms. The comparison results  shows that the proposed work achieves higher SINR, improved coverage capacity than the meta-heuristic algorithms. …”
Get full text

The True Shortest Path of Obstacle Grid Graph Is Solved by SGP Vertex Extraction and Filtering Algorithm by Yijie Zhang, Jizhou Chen

“…In the obstacle grid map, due to the limitations in search direction imposed by classical path algorithms and meta-heuristic algorithms, the shortest paths are not the true shortest paths (TSPs) but rather the shortest grid paths (SGPs). …”
Get full text

COMPARATIVE ANALYSIS OF COLORING ALGORITHMS FOR ORDINARY WEIGHTED GRAPH by Andrey Sergeyevich Merzlenko, Valery Grigoryevich Kobak

“…The exact algorithm that always finds the minimum count of colors through Maghout method and then finds the “minimax” option using 3 versions of the critical path method is described. Three fast heuristic algorithms are described: the algorithm that works with the list of vertexes arranged by the local degrees; the algorithm based on the removal of the points and adjacent edges; the algorithm using the vertex saturation rate. …”
Get full text