专题：Scheduling and Timetabling Solutions

This cluster of papers focuses on the optimization of staff scheduling and rostering, including topics such as nurse rostering, timetabling, metaheuristics, graph coloring, personnel scheduling, and workforce planning. The papers explore various algorithms and models to efficiently allocate and schedule staff in different domains, aiming to minimize costs and improve operational efficiency.
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近5年高被引文献
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

paratext Full Text OpenAlex 316 FWCI0

A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

review Full Text OpenAlex 181 FWCI21.5081

A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization

review Full Text OpenAlex 177 FWCI21.767

A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems

review Full Text OpenAlex 129 FWCI24.1039

A study of ant-based pheromone spaces for generation constructive hyper-heuristics

article Full Text OpenAlex 118 FWCI15.959

Modified Sand Cat Swarm Optimization Algorithm for Solving Constrained Engineering Optimization Problems

article Full Text OpenAlex 115 FWCI14.4269

The educational competition optimizer

article Full Text OpenAlex 110 FWCI33.3263

A survey for solving mixed integer programming via machine learning

article Full Text OpenAlex 106 FWCI12.8369

Meerkat optimization algorithm: A new meta-heuristic optimization algorithm for solving constrained engineering problems

article Full Text OpenAlex 91 FWCI14.7737

Multi-Neighborhood Simulated Annealing-Based Iterated Local Search for Colored Traveling Salesman Problems

article Full Text OpenAlex 89 FWCI10.9756