M Sánchez, JM Cruz-Duarte… - IEEE …, 2020 - ieeexplore.ieee.org
Hyper-heuristics aim at interchanging different solvers while solving a problem. The idea is to determine the best approach for solving a problem at its current state. This way, every time …
Hyper-heuristics is a fairly recent technique that aims at effectively solving various real-world optimization problems. This is the first book on hyper-heuristics, and aims to bring together …
Literature is prolific with metaheuristics for solving continuous optimisation problems. But, in practice, it is difficult to choose one appropriately for several reasons. First and …
F Zhao, Y Liu, N Zhu, T Xu - Applied Soft Computing, 2023 - Elsevier
The selection of an algorithm in the real world of the application domain is a challenging problem as no specific algorithm exists capable of solving all issues to a satisfactory …
Metaheuristics have become a widely used approach for solving a variety of practical problems. The literature is full of diverse metaheuristics based on outstanding ideas and …
Abstract The Internet of Things (IoT) is a network in the socio-physical space that provides a platform for large-scale data collection. In this context, Wireless Sensor Nodes (WSN) and …
W Meng, R Qu - Expert Systems with Applications, 2021 - Elsevier
This paper proposes AutoGCOP, a new general framework for automated design of local search algorithms. In a recently established General Combinatorial Optimisation Problem …
Literature is prolific with metaheuristics for solving continuous optimisation problems. But, in practice, it is difficult to choose one appropriately. Moreover, it is necessary to determine a …
Hyper-heuristics (HHs) stand as a relatively recent approach to solving optimization problems. There are different kinds of HHs. One of them deals with how low-level heuristics …